WEBVTT - Ep 183 SSRIs Part 2: Action

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<v Speaker 1>Hi, I'm Haley. I'm twenty four, and this is my

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<v Speaker 1>story with's so looft so. Growing up, I was the

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<v Speaker 1>kid who was scared of everything. In sects, people in costumes, heights,

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<v Speaker 1>you name it. But beneath all that fear, we're intrusive

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<v Speaker 1>thoughts that no one else could see. For instance, my

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<v Speaker 1>mom's allergip bees. I was constantly worried that I, rather

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<v Speaker 1>rest would get stung and we would die. I tried

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<v Speaker 1>to relieve these thoughts through avoidance, skin picking, and checking,

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<v Speaker 1>with very minimal relief. I attempted to explain my fears

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<v Speaker 1>to pediatricians and school counselors, but I was never given

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<v Speaker 1>any real concrete answers. I began to believe this was

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<v Speaker 1>just who I was. College is when things began to worsen.

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<v Speaker 1>When the pandemic hit in spring of twenty twenty, my

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<v Speaker 1>anxiety exploded. I remember obsessively locking my windows and shutting

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<v Speaker 1>the blinds, convinced that someone'd break in or try to

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<v Speaker 1>bring the virus inside. I was diagnosed with an adjustment

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<v Speaker 1>disorder and was even taken off my birth control because

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<v Speaker 1>that was believed to beet the issue. Eventually, in the

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<v Speaker 1>fall of twenty twenty, I was able to get an

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<v Speaker 1>appointment with our head college doctor. She truly listened and said,

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<v Speaker 1>I think this might be an anxiety disorder, and she

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<v Speaker 1>started me on fifty milligrams as Soloft, and for the

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<v Speaker 1>first time, I felt like I could breathe. I had

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<v Speaker 1>very minimal side effects, only some sleepiness and some GI

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<v Speaker 1>upset for the first two weeks. The next fall, I

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<v Speaker 1>began wondering if it might be OCD. I began tracking

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<v Speaker 1>my thoughts, looking into patterns, but unfortunately, in the spring

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<v Speaker 1>of twenty twenty two, my depression took over. My depression

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<v Speaker 1>manifested into intrusive thoughts, telling me to hurt myself, even

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<v Speaker 1>though I really didn't want to. I knew something was

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<v Speaker 1>really wrong, and so I went back to my head

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<v Speaker 1>college doctor. She increased my soul off to one hundred

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<v Speaker 1>milligrams and that definitely helped. Still, none of my doctors

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<v Speaker 1>felt qualified to diagnose OCD. My pediatrician later admitted she

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<v Speaker 1>had suspected it for years. In twenty twenty four, one

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<v Speaker 1>year out of college, I finally got my OCD diagnosis

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<v Speaker 1>for my current therapist. My new primary caper provider was

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<v Speaker 1>really thrilled to hear this and one defy me a

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<v Speaker 1>regimen that worked. So typically for OCD, you give the

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<v Speaker 1>patient a top dose of their preferred SSRI, but for me,

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<v Speaker 1>she kept me on my one hundred milligrams of zolof

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<v Speaker 1>and added a dose abuse bar and that worked for me.

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<v Speaker 1>In my thoughts got quieter and I was able to

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<v Speaker 1>finally start making progress again in my OCD therapy. SSRIs

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<v Speaker 1>have truly changed my life. I used to spend every

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<v Speaker 1>day fighting my own mind, and now I'm able to

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<v Speaker 1>achieve goals that I had set for years, such as

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<v Speaker 1>applying to medical school. I'm really lucky to have had

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<v Speaker 1>very few side effects and not have to go through

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<v Speaker 1>many different medications. I really cannot imagine going back to

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<v Speaker 1>a life where I was not on SSRIs. They don't

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<v Speaker 1>just help me function, they have given me back my future.

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<v Speaker 2>My name is Sarah, and I started using SSRIs during

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<v Speaker 2>my master's degree over ten years ago now. So, while

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<v Speaker 2>I was sudying for my masters, I started to experience

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<v Speaker 2>really profound anxiety and a lot of obsessive thinking. I

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<v Speaker 2>became convinced that I had plagiarized all the work I'd

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<v Speaker 2>ever done and that ireparably harmed every person I'd ever encountered,

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<v Speaker 2>and I spent all day a lot of days, checking

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<v Speaker 2>my work and seeking reassurance or reaching out to apologize

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<v Speaker 2>to people for things I imagined i'd done. I was

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<v Speaker 2>diagnosed with obsessive compulsive disorder and originally tried to manage

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<v Speaker 2>it with just cognitive behavioral therapy, which helped a bit,

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<v Speaker 2>but it reached the point where I was very unmanaged

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<v Speaker 2>and was having suicidal ideation and thinking I had to

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<v Speaker 2>drop out of school. So I began to use an SSRI,

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<v Speaker 2>and after the first few weeks when it started to

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<v Speaker 2>take effect, I had this amazing experience of that used

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<v Speaker 2>to be thoughts that I would obsess over and would

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<v Speaker 2>ruin my week because I would spend all of my

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<v Speaker 2>time in service of those obsessions. Now, as the SSRIs

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<v Speaker 2>kicked in, my brain would just sort of slide off

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<v Speaker 2>of those thoughts and I could go on to do

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<v Speaker 2>other things that day, and it was really wonderful. So

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<v Speaker 2>with that under control, I was able to complete my

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<v Speaker 2>master's degree and publish some work from that, and after

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<v Speaker 2>several years of being under good control, I've been able

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<v Speaker 2>to start studying for my PhD. So I'm very fortunate

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<v Speaker 2>that for me, SSRIs have not had substantial negative side

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<v Speaker 2>effects and that they've been effective and helpful. And because

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<v Speaker 2>of that, I've been able to really enjoy my work

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<v Speaker 2>and do research that I think is significant and impactful

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<v Speaker 2>for the world, while actually getting joy from that instead

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<v Speaker 2>of just anxiety.

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<v Speaker 3>Thank you so much for sharing your first hand account

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<v Speaker 3>that it really means. It means the world to us.

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<v Speaker 3>It's so important to have that that personal experience to

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<v Speaker 3>learn from and to get an insight into how SSRIs

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<v Speaker 3>work or don't work, or just the impact that they've had.

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<v Speaker 4>Yeah, it's not something that we can convey by ourselves,

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<v Speaker 4>So thank you for sharing with us. And thank you

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<v Speaker 4>to everybody who wrote in. I know a lot of

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<v Speaker 4>you did, and we really really appreciate everyone's willingness to

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<v Speaker 4>just share your story with us. That's not an easy

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<v Speaker 4>thing to do and it means so much.

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<v Speaker 3>So it really does.

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<v Speaker 2>Hi.

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<v Speaker 4>I'm Aaron Welsh and I'm Erin aman Updike.

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<v Speaker 3>And this is this podcast will Kill You.

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<v Speaker 4>We're back as promised, we are with part two of SSRIs.

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<v Speaker 3>How do they work? What are they? What is serotonin

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<v Speaker 3>besides something that does everything.

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<v Speaker 4>I mean, you told us a lot about that, Aaron,

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<v Speaker 4>Let's be honest, but.

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<v Speaker 3>Like I was just like, and it does these things? Yeah?

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<v Speaker 3>How does it do those things? Oh?

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<v Speaker 4>I'm not going to get into that, Aaron. Watch this

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<v Speaker 4>not be at all what you wanted to learn in

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<v Speaker 4>this episode. But that's okay. We're going to have fun regardless.

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<v Speaker 3>I'm a blank slate. I'm happy to learn anything.

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<v Speaker 4>If you we do. If you missed last week's episode,

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<v Speaker 4>do check it out. Aaron welshwak just through the history

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<v Speaker 4>of serotonin. How did we even figure out it was

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<v Speaker 4>a thing? Wow? And how we came up with ssriyes,

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<v Speaker 4>and how pharmaceuticals have advertised them.

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<v Speaker 3>Yeah.

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<v Speaker 4>Yeah, And then today we're gonna we're gonna take it

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<v Speaker 4>from there.

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<v Speaker 3>Love it short and sweet. But first we are drinking

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<v Speaker 3>the same thing that we did last week for our

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<v Speaker 3>quarantiny really Placey Brita time the serotonin sprits, serotonin sprints,

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<v Speaker 3>apple cider and pineapple juice and soda water and it's

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<v Speaker 3>simple and freshing.

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<v Speaker 4>Enjoy it's online.

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<v Speaker 3>Check it out. Check it out. I feel like I've

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<v Speaker 3>been forcing you to do the website just by being like,

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<v Speaker 3>what do we do now? So I'll do the website.

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<v Speaker 4>Okay, great.

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<v Speaker 3>You can find lots of things on our website This

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<v Speaker 3>podcast will kill You dot com. You can find things

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<v Speaker 3>related to our sources for each and every one of

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<v Speaker 3>our episodes. We've got links to bookshop dot org, affiliate account,

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<v Speaker 3>our Goodreads list, links to merch links to Patreon, links

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<v Speaker 3>to music by bloodmobile transcripts, a contact us form, and

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<v Speaker 3>more things.

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<v Speaker 4>I loved it and I also love when you go

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<v Speaker 4>into your like semi.

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<v Speaker 3>Newscasters caster voice. Yeah, I know. My secret dream is

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<v Speaker 3>to be like just a voice on the on the TV,

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<v Speaker 3>on the documentary and look of a voice actor blah

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<v Speaker 3>blah blah. Yeah, wouldn't it be nice?

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<v Speaker 2>Yeah?

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<v Speaker 3>I have a training for that.

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<v Speaker 4>Anyone anyone hiring?

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<v Speaker 3>Yeah, please let me know. Reach out this podcast will

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<v Speaker 3>Kill You dot com on the contact us form on

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<v Speaker 3>our website.

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<v Speaker 4>If you haven't already rated, reviewed, and subscribed on your

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<v Speaker 4>favorite podcast here, are you listening on iHeart Podcasts? Are

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<v Speaker 4>you don't have to do that part. You can unsubscribe.

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<v Speaker 3>In fact, the visuals, just so you know, are very

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<v Speaker 3>good for what Erin is currently doing, and so if

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<v Speaker 3>you are so inclined, you can see them on YouTube.

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<v Speaker 3>If you want to watch the video for these podcast episode.

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<v Speaker 4>You can follow the exactly Right network channel on YouTube.

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<v Speaker 3>Yep, the end.

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<v Speaker 4>Shall we start now?

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<v Speaker 3>I believe that we shall. Okay, take a quick break

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<v Speaker 3>and get started.

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<v Speaker 4>Okay, So Erin, Erin, you walked us through last week,

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<v Speaker 4>so beautiful about what we know about, like how serotonin,

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<v Speaker 4>like where it came from, how long it's been with us,

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<v Speaker 4>how we came to find SSRIs intentionally, which is so interesting,

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<v Speaker 4>and some of the issues with how we have marketed

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<v Speaker 4>them and how we think about in like the popular

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<v Speaker 4>media sense, how we think about how they work, which

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<v Speaker 4>I think has led to a lot of the controversies

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<v Speaker 4>that come with SSRIs today, though there's a lot of

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<v Speaker 4>other reasons for that, which I'll get into. So I

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<v Speaker 4>want to start by just setting the stage for what

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<v Speaker 4>I am actually going to cover today, because it's a

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<v Speaker 4>lot of things and not a lot of things at

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<v Speaker 4>the same time, huh. I'm tempering expectations. That's what I'm doing.

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<v Speaker 4>I will not just end with we don't know how

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<v Speaker 4>these work, Okay, Okay, though I will probably still say

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<v Speaker 4>that a lot of times as usual. But this is

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<v Speaker 4>not an episode where I dive deep into the neurobiology

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<v Speaker 4>of depression or anxiety, because those are topics that deserve

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<v Speaker 4>their own episodes, definitely, and we'll have them at some point.

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<v Speaker 4>I Am not going to get super nitty gritty on

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<v Speaker 4>the five HT one A autoreceptor blah blah blah. Like

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<v Speaker 4>we're talking. There are so many serotonin receptors and I'm

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<v Speaker 4>not gonna I'm not gonna get us, you know, up

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<v Speaker 4>to our eyeballs in it. Okay, okay, But my goal

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<v Speaker 4>is to give us all a real sense of how

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<v Speaker 4>we actually use SSRIs today, Like how are they used

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<v Speaker 4>in kind of clinical practice? How are they thought of?

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<v Speaker 4>Not in social media circles or political circles or popular

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<v Speaker 4>media circles, but how are they thought of by the

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<v Speaker 4>medical and scientific communities that use them and that research them.

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<v Speaker 4>What do we think that we know about how they

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<v Speaker 4>are treating the disorders that we use them for? Are

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<v Speaker 4>they effective? And what does that mean.

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<v Speaker 3>What does that mean? Okay?

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<v Speaker 4>Yeah, and then hopefully do a little bit of like

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<v Speaker 4>myth busting and a little bit of like grounding of

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<v Speaker 4>big picture. How do these conversations that we're having about

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<v Speaker 4>SSRIs tell us about the way that we think about

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<v Speaker 4>mental health conditions as a society. Oh, small feet ready? Yeah,

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<v Speaker 4>So SSRIs, selective serotonin re uptake inhibitors are considered one

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<v Speaker 4>of the possible first line therapies for both depressive disorders,

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<v Speaker 4>which there are a lot of depressive disorders. There's major

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<v Speaker 4>depressive disorder or MDD, but there's others. There's persistent depressive disorder,

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<v Speaker 4>there's design yet like there are a lot, Okay, and

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<v Speaker 4>also first line one of the possible first line therapies

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<v Speaker 4>for anxiety disorders, of which there are many, Generalized anxiety disorder,

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<v Speaker 4>Social anxiety disorder PTSD, OCD and more. If anyone listening

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<v Speaker 4>needs convince sing as to the importance of these mental

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<v Speaker 4>health disorders, the Global Burden of Diseases study from twenty

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<v Speaker 4>twenty two, which importantly includes data only up till twenty

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<v Speaker 4>nineteen and does not include the massive increase in mental

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<v Speaker 4>health disorders worldwide that we saw due to COVID, But

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<v Speaker 4>in twenty nineteen, depression and anxiety were top ten causes

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<v Speaker 4>of disability adjusted life years in adolescence and adults worldwide.

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<v Speaker 4>Self harm behaviors, which often coincide with depression, was the

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<v Speaker 4>third leading cause of disability adjusted life years in adolescence

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<v Speaker 4>age ten to twenty four. Yeah, gosh, And there's no

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<v Speaker 4>evidence that these disorders are decreasing over time. If anything,

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<v Speaker 4>they are on the rise. Anxiety disorders and depressive disorders

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<v Speaker 4>are estimated to affect three hundred million people each worldwide,

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<v Speaker 4>with an estimated lifetime prevalence of depression of close to

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<v Speaker 4>twenty percent like lifetime risk.

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<v Speaker 3>Okay.

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<v Speaker 4>In the US in twenty twenty, nearly one in ten

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<v Speaker 4>Americans experienced a depressive episode in the last year alone,

0:14:15.840 --> 0:14:19.640
<v Speaker 4>and nearly twenty percent of adolescents and young adults experienced one.

0:14:19.960 --> 0:14:22.040
<v Speaker 4>But in this study, which looked at like I think

0:14:22.080 --> 0:14:26.320
<v Speaker 4>a five year period helps, seeking behavior has not been increasing,

0:14:26.920 --> 0:14:30.600
<v Speaker 4>right And in a lot of studies, less than half

0:14:30.600 --> 0:14:34.080
<v Speaker 4>of people with depression reported having spoken to any healthcare

0:14:34.120 --> 0:14:38.000
<v Speaker 4>professional about their depression or receiving any treatment for their depression.

0:14:39.280 --> 0:14:43.080
<v Speaker 4>In Europe, according to the European Psychological Association, Nearly one

0:14:43.120 --> 0:14:45.680
<v Speaker 4>in five people is diagnosed with depression at some point

0:14:45.720 --> 0:14:48.080
<v Speaker 4>in their lives, so that's pretty much that twenty percent

0:14:48.160 --> 0:14:53.119
<v Speaker 4>lifetime prevalence, and they estimate twelve month prevalences of depression

0:14:53.200 --> 0:14:56.720
<v Speaker 4>around six percent, and anxiety in the UK is estimated

0:14:56.760 --> 0:15:00.400
<v Speaker 4>at around four percent, with worldwide estimates that vary from

0:15:00.400 --> 0:15:03.520
<v Speaker 4>like one percent to about six percent. And like I

0:15:03.560 --> 0:15:06.640
<v Speaker 4>mentioned last week, depression and anxiety often co occur, and

0:15:06.680 --> 0:15:09.560
<v Speaker 4>when they do, it can be more refractory to treatment,

0:15:09.680 --> 0:15:12.960
<v Speaker 4>especially when it comes to depression that like overlaps with anxiety.

0:15:13.120 --> 0:15:16.440
<v Speaker 3>When they co occur, it's more challenging to treat. Just

0:15:16.640 --> 0:15:19.800
<v Speaker 3>a quick question, can you and maybe you're about to

0:15:19.880 --> 0:15:24.080
<v Speaker 3>do this, but define clinical definitions of anxiety depression?

0:15:24.200 --> 0:15:27.560
<v Speaker 4>Yeah, It's it's hard because there are so many specific,

0:15:27.960 --> 0:15:32.840
<v Speaker 4>you know, specific disorders that you can define within that, right.

0:15:33.280 --> 0:15:35.480
<v Speaker 3>So maybe what about a depressive episode?

0:15:35.640 --> 0:15:38.760
<v Speaker 4>Yeah, so a major depressive disorder is like would count

0:15:38.760 --> 0:15:41.480
<v Speaker 4>as like one depressive episode, right, Okay, and that is

0:15:41.560 --> 0:15:46.640
<v Speaker 4>usually at least two weeks of at least all of

0:15:46.720 --> 0:15:48.560
<v Speaker 4>a whole bunch of different symptoms. So there's like these

0:15:48.640 --> 0:15:51.840
<v Speaker 4>different checklists basically that you go through. So there has

0:15:51.880 --> 0:15:55.040
<v Speaker 4>to be disruptions in sleep, which could be sleeping too

0:15:55.080 --> 0:15:59.680
<v Speaker 4>little or too much. There's disruptions in your interest or

0:15:59.680 --> 0:16:02.560
<v Speaker 4>like what call anhedonia, so not finding interest or pleasure

0:16:02.640 --> 0:16:05.240
<v Speaker 4>in things that you used to like to do. There's

0:16:05.560 --> 0:16:07.880
<v Speaker 4>energy issues, so you don't have as much energy as

0:16:07.920 --> 0:16:13.520
<v Speaker 4>you used to. There's issues with concentration. There's actually feeling depressed,

0:16:13.520 --> 0:16:16.520
<v Speaker 4>like having a low mood or maybe crying more easily

0:16:16.600 --> 0:16:20.320
<v Speaker 4>than you used to. There's appetite issues, which could be

0:16:20.320 --> 0:16:23.840
<v Speaker 4>eating more or eating less than you usually would. Sometimes

0:16:23.880 --> 0:16:27.800
<v Speaker 4>we see psychomotor issues, so walking or moving very slowly

0:16:28.120 --> 0:16:30.440
<v Speaker 4>or like more rapidly than you used to in the

0:16:30.440 --> 0:16:34.640
<v Speaker 4>case of like anxiety for example, okay, and then there

0:16:34.720 --> 0:16:37.400
<v Speaker 4>of course can be thoughts of suicide or suicidal ideation

0:16:38.520 --> 0:16:41.160
<v Speaker 4>when it comes to anxiety kind of one of the

0:16:41.200 --> 0:16:44.960
<v Speaker 4>biggest ones is generalized anxiety disorder, and there's separate criteria there,

0:16:44.960 --> 0:16:46.360
<v Speaker 4>but a lot of it comes down to are you

0:16:46.400 --> 0:16:51.200
<v Speaker 4>worrying about things like unnecessarily? Are you not able to

0:16:51.440 --> 0:16:53.840
<v Speaker 4>sleep or you know, do the things that you need

0:16:53.920 --> 0:16:58.000
<v Speaker 4>to because you're up all night worrying, so you're having insomnia?

0:16:58.040 --> 0:17:02.120
<v Speaker 4>Are you And what's really important and that's not an

0:17:02.160 --> 0:17:05.600
<v Speaker 4>exhaustive list, but there's a bunch of different questionnaires basically

0:17:05.600 --> 0:17:07.879
<v Speaker 4>that you go through and you have to score certain

0:17:07.920 --> 0:17:11.800
<v Speaker 4>scores in order to meet criteria. But the thing that's

0:17:11.840 --> 0:17:15.919
<v Speaker 4>important about all of these, almost all of our mental

0:17:15.920 --> 0:17:19.680
<v Speaker 4>health disorders, is that one of the criteria in order

0:17:19.720 --> 0:17:22.440
<v Speaker 4>to diagnose them is they have to cause some kind

0:17:22.440 --> 0:17:25.240
<v Speaker 4>of functional impairment, which means that the last question on

0:17:25.320 --> 0:17:29.280
<v Speaker 4>any of these questionnaires, whether it's an anxiety questionnaire depression questionnaire,

0:17:29.560 --> 0:17:32.719
<v Speaker 4>is how much is this How difficult is it making

0:17:33.160 --> 0:17:36.240
<v Speaker 4>your life? How difficult is it making you to be

0:17:36.280 --> 0:17:39.439
<v Speaker 4>able to do your work, to be able to do

0:17:39.600 --> 0:17:41.200
<v Speaker 4>your home life, to be able to do the things

0:17:41.200 --> 0:17:43.840
<v Speaker 4>that you need to do right? And that is the

0:17:43.920 --> 0:17:47.280
<v Speaker 4>kind of like final criterion. So that's like a very

0:17:47.280 --> 0:17:50.040
<v Speaker 4>brief overview of how it's not perfect with us, how

0:17:50.119 --> 0:17:52.120
<v Speaker 4>we define a lot of those things. And I've got

0:17:52.119 --> 0:17:57.760
<v Speaker 4>papers you could read more. Okay, okay, So full disclosure.

0:17:57.800 --> 0:18:03.440
<v Speaker 4>Also because we use SSI eyes for anxiety disorders as

0:18:03.520 --> 0:18:07.679
<v Speaker 4>well as depressive disorders, yea. But a lot of the

0:18:07.760 --> 0:18:11.720
<v Speaker 4>data on them and a lot of the like mechanistic

0:18:11.760 --> 0:18:14.439
<v Speaker 4>looking into how do they work relates to how we

0:18:14.560 --> 0:18:17.840
<v Speaker 4>use SSRIs and think about them for depression. So that

0:18:18.000 --> 0:18:20.280
<v Speaker 4>is most of what I'm going to talk about, but

0:18:20.359 --> 0:18:23.439
<v Speaker 4>I will also mention their use in anxiety, and know

0:18:23.560 --> 0:18:25.600
<v Speaker 4>that a lot of the data in terms of like

0:18:26.160 --> 0:18:28.800
<v Speaker 4>is it effective or not, how much of a placebo

0:18:28.920 --> 0:18:31.399
<v Speaker 4>is there or not, it's also true in anxiety the

0:18:31.520 --> 0:18:35.520
<v Speaker 4>numbers might be slightly different, but I'm mostly focusing on

0:18:35.640 --> 0:18:38.400
<v Speaker 4>SSRI I use in depression. They're also really important for anxiety.

0:18:38.560 --> 0:18:42.000
<v Speaker 3>Okay, yeah, yeah it is, And I think that's just

0:18:42.080 --> 0:18:45.240
<v Speaker 3>probably a historical artifact to some degree. Is that what's

0:18:45.320 --> 0:18:47.919
<v Speaker 3>most of the studies have been focused on. And I'm

0:18:47.960 --> 0:18:53.200
<v Speaker 3>sure that there's increasing like attention totally other Yeah.

0:18:53.080 --> 0:18:55.520
<v Speaker 4>Well, and yeah, all of them that are kind of

0:18:55.560 --> 0:18:59.439
<v Speaker 4>like approved for indications for anxiety, they had to have

0:18:59.480 --> 0:19:01.560
<v Speaker 4>those studies in order to be approved for that indication.

0:19:01.640 --> 0:19:04.199
<v Speaker 4>So again, the data exists, The data is there, and

0:19:04.240 --> 0:19:06.280
<v Speaker 4>I have a bunch of papers that people can read

0:19:06.440 --> 0:19:07.760
<v Speaker 4>to do more on it, but I had to be

0:19:07.840 --> 0:19:10.040
<v Speaker 4>selective because we only have so.

0:19:10.040 --> 0:19:10.640
<v Speaker 3>Much time.

0:19:12.840 --> 0:19:16.080
<v Speaker 4>And so Aerin last week, you walked us through how

0:19:16.160 --> 0:19:19.800
<v Speaker 4>we came up with the idea of using serotonin as

0:19:19.840 --> 0:19:23.920
<v Speaker 4>a target, right in large part because we figured out

0:19:23.960 --> 0:19:26.399
<v Speaker 4>I never knew it had to do with tuberculosis, but

0:19:26.920 --> 0:19:29.520
<v Speaker 4>through the effects of these older what are now often

0:19:29.560 --> 0:19:35.439
<v Speaker 4>called first generation antidepressants, the MAOIs and the TCAs, that

0:19:35.440 --> 0:19:38.000
<v Speaker 4>that is how we've picked serotonin as a target. The

0:19:38.040 --> 0:19:42.360
<v Speaker 4>beneficial effects of those types of antidepressants pointed to this

0:19:42.640 --> 0:19:47.160
<v Speaker 4>monoamine hypothesis of depression. And like you told us last week, Aarin,

0:19:47.840 --> 0:19:53.280
<v Speaker 4>this is not the cause of depression. Serotonin decreases in

0:19:53.359 --> 0:19:57.840
<v Speaker 4>serotonin is not the cause of depression. But it has

0:19:57.960 --> 0:19:59.960
<v Speaker 4>led us down the road of understanding a lot more

0:20:00.119 --> 0:20:05.240
<v Speaker 4>more about depression than we used to. And because all

0:20:05.400 --> 0:20:10.000
<v Speaker 4>of the different antidepressants that we use, including the kind

0:20:10.040 --> 0:20:13.560
<v Speaker 4>of what are called atypical antidepressants that are not SSRIs

0:20:13.680 --> 0:20:18.360
<v Speaker 4>or SNRIs, all of these, even the new fancy ones

0:20:18.359 --> 0:20:22.359
<v Speaker 4>that people are very excited about, like ketamine and like zilocybin,

0:20:23.119 --> 0:20:26.560
<v Speaker 4>all of these, to some extent or another, do in

0:20:26.680 --> 0:20:34.000
<v Speaker 4>fact modulate some of our monoamine neurotransmitters serotonin, yes, also

0:20:34.080 --> 0:20:39.160
<v Speaker 4>nor epinephrine and dopamine. Okay, So clearly there is something

0:20:40.000 --> 0:20:44.119
<v Speaker 4>to the fact that these monoamines are involved in depression

0:20:44.200 --> 0:20:48.159
<v Speaker 4>and anxiety and modulating these to one degree or another

0:20:48.480 --> 0:20:51.840
<v Speaker 4>can help reduce the symptoms of depression and anxiety, even

0:20:51.880 --> 0:20:55.720
<v Speaker 4>if we don't quite understand why or how. So to

0:20:55.760 --> 0:20:59.879
<v Speaker 4>do a quick recap on what serotonin is so that

0:21:00.040 --> 0:21:03.600
<v Speaker 4>you know how it's working in our bodies, I'm gonna

0:21:03.640 --> 0:21:05.560
<v Speaker 4>actually take a quick step back and just talk about

0:21:05.600 --> 0:21:08.679
<v Speaker 4>the idea of a neurotransmitter because I want to be

0:21:08.680 --> 0:21:13.639
<v Speaker 4>able to explain what they're doing in our brains. Yeah, okay,

0:21:14.760 --> 0:21:17.240
<v Speaker 4>And we've talked a lot about neurotransmitters on this podcast,

0:21:17.280 --> 0:21:19.560
<v Speaker 4>like I've said the word a lot. But let me

0:21:19.640 --> 0:21:22.240
<v Speaker 4>recap what these really are. These are compounds. These are

0:21:22.320 --> 0:21:25.080
<v Speaker 4>chemicals that we make in a bunch of different parts

0:21:25.080 --> 0:21:27.600
<v Speaker 4>of our brain and throughout our body. Serotonin, like ninety

0:21:27.640 --> 0:21:29.960
<v Speaker 4>percent of our serotonin we actually produce in our gut,

0:21:30.160 --> 0:21:32.280
<v Speaker 4>in neuroendocrine cells in our GI tract.

0:21:32.560 --> 0:21:34.919
<v Speaker 3>What the heck amazing, I know, right.

0:21:35.280 --> 0:21:40.720
<v Speaker 4>But so, neurotransmitters broadly are these chemicals that help to

0:21:40.920 --> 0:21:45.560
<v Speaker 4>translate electrical signals in our brain and our peripheral nervous

0:21:45.600 --> 0:21:50.680
<v Speaker 4>system into chemical signals that then cross what is called

0:21:50.720 --> 0:21:55.119
<v Speaker 4>the sinnaps either between two neurons because there's a gap

0:21:55.160 --> 0:21:57.679
<v Speaker 4>at the end of a neuron before it touches another neuron.

0:21:57.840 --> 0:22:01.439
<v Speaker 4>There's a gap called a synapse or between a neuron

0:22:01.600 --> 0:22:04.280
<v Speaker 4>and say a muscle, right where it's going to have

0:22:04.320 --> 0:22:09.720
<v Speaker 4>an effect, and signals are passed in our neurons and

0:22:09.800 --> 0:22:14.240
<v Speaker 4>in our brain with electricity essentially, And when these signals

0:22:14.240 --> 0:22:16.040
<v Speaker 4>get to the end of a neuron, in order to

0:22:16.080 --> 0:22:19.679
<v Speaker 4>cross that gap, that synapse and send the message onwards,

0:22:20.080 --> 0:22:24.640
<v Speaker 4>these electric signals have to be transmitted via chemicals. Chemicals

0:22:24.640 --> 0:22:28.320
<v Speaker 4>are released, they cross that gap, bind to receptors on

0:22:28.359 --> 0:22:32.520
<v Speaker 4>the other side, and whatever neurotransmitter is released and whatever

0:22:32.600 --> 0:22:35.959
<v Speaker 4>receptor it binds to sends whatever message it is that

0:22:35.960 --> 0:22:38.600
<v Speaker 4>we're trying to send. Is that right? Generalized enough?

0:22:38.840 --> 0:22:42.280
<v Speaker 3>But you gotta have somebody throwing the baseball and someone

0:22:42.359 --> 0:22:43.040
<v Speaker 3>catching it.

0:22:43.080 --> 0:22:46.760
<v Speaker 4>Exactly aarin, whay did you go with the baseball? Metaphors

0:22:48.320 --> 0:22:53.080
<v Speaker 4>hitting it out of the park, Let them go on. So,

0:22:53.400 --> 0:22:57.320
<v Speaker 4>serotonin happens to be a neurotransmitter that is involved in

0:22:57.560 --> 0:22:59.919
<v Speaker 4>so many parts of our brain.

0:23:00.600 --> 0:23:03.640
<v Speaker 3>Yeah, and our whole body, our whole bodies.

0:23:03.480 --> 0:23:06.960
<v Speaker 4>But in our brain specifically, it helps to regulate things

0:23:07.200 --> 0:23:12.760
<v Speaker 4>like mood, like sleep like, sexual activity, appetite, cognitive function, okay,

0:23:13.640 --> 0:23:18.359
<v Speaker 4>And in our peripheral nervous system, it does so many

0:23:18.480 --> 0:23:21.640
<v Speaker 4>other things that regulates our gut motility, our visceral sensitivity.

0:23:21.920 --> 0:23:24.760
<v Speaker 4>It is part of this gut brain axis that someday

0:23:24.760 --> 0:23:27.200
<v Speaker 4>we will have to do. It's also taken up by

0:23:27.200 --> 0:23:29.239
<v Speaker 4>our platelets, which is why I got so excited when

0:23:29.280 --> 0:23:32.960
<v Speaker 4>you said they saw this clotty stuff. Yeah, serotonin is

0:23:32.960 --> 0:23:38.400
<v Speaker 4>involved in our clotting cascade. What so, serotonin is truly everywhere.

0:23:39.600 --> 0:23:46.560
<v Speaker 4>Selective serotonin reuptake inhibitors or SSRIs are drugs that bind

0:23:46.880 --> 0:23:53.119
<v Speaker 4>to a transporter protein on the presynaptic side. That is

0:23:53.240 --> 0:23:58.360
<v Speaker 4>where we are releasing serotonin from on our nerve cells

0:23:59.320 --> 0:24:04.960
<v Speaker 4>on our neuron, and this transporter's job is usually to

0:24:05.280 --> 0:24:11.720
<v Speaker 4>collect the serotonin after it's been released. The catcher, the catcher, exactly. Wow,

0:24:11.720 --> 0:24:13.760
<v Speaker 4>we're gonna keep going the baseball analogy.

0:24:13.880 --> 0:24:14.879
<v Speaker 3>We really don't have to.

0:24:15.119 --> 0:24:15.800
<v Speaker 4>No, I like it.

0:24:15.880 --> 0:24:16.920
<v Speaker 3>The goalie like.

0:24:16.880 --> 0:24:18.439
<v Speaker 4>What, I don't catcher.

0:24:18.440 --> 0:24:20.720
<v Speaker 3>You can only think of sports related things right now

0:24:20.760 --> 0:24:21.479
<v Speaker 3>for some reason.

0:24:22.840 --> 0:24:26.000
<v Speaker 4>And the catcher is taking all of these serotonin balls

0:24:26.080 --> 0:24:30.200
<v Speaker 4>and putting them back. Maybe it's really like the ball boy. Honestly, Okay, okakay,

0:24:30.480 --> 0:24:33.760
<v Speaker 4>that's a catcher, slash ball boy, whatever, yeah, yeah, and

0:24:33.880 --> 0:24:37.240
<v Speaker 4>putting them back into our neurons so that the serotonin

0:24:37.280 --> 0:24:42.520
<v Speaker 4>can either be recycled broken down by monoamine oxidase, or

0:24:43.520 --> 0:24:46.719
<v Speaker 4>it can be recycled like reused again. Okay, I get

0:24:46.760 --> 0:24:51.400
<v Speaker 4>a pitching machine exactly. Okay, we'll stop there. I think

0:24:51.440 --> 0:25:11.280
<v Speaker 4>that might be the end of it. So what these

0:25:11.359 --> 0:25:14.800
<v Speaker 4>drugs do is they bind to these transporters and block

0:25:14.840 --> 0:25:20.240
<v Speaker 4>them so we cannot re uptake, repackage this serotonin back

0:25:20.480 --> 0:25:24.520
<v Speaker 4>into the presynaptic part of our neurons. What that means

0:25:24.680 --> 0:25:29.600
<v Speaker 4>is there is an increase in serotonin in this synaptic space,

0:25:29.680 --> 0:25:37.840
<v Speaker 4>this extracellular space. Okay, that is how they work mechanistically,

0:25:38.320 --> 0:25:44.280
<v Speaker 4>all right. So the thought was, okay, we're increasing serotonin

0:25:44.359 --> 0:25:47.720
<v Speaker 4>in the extracellular space, and that is improving depression. But

0:25:47.800 --> 0:25:52.800
<v Speaker 4>like you mentioned aarin, that happens pretty quickly after the

0:25:52.840 --> 0:25:57.280
<v Speaker 4>introduction of SSRIs. But the effects that we see in

0:25:57.359 --> 0:26:01.320
<v Speaker 4>terms of its improvement these drugs improve on depressive and

0:26:01.400 --> 0:26:06.760
<v Speaker 4>anxiety symptoms takes some time, and so that tells us

0:26:06.800 --> 0:26:12.200
<v Speaker 4>that it is not just increasing this extracellular amount of serotonin.

0:26:12.440 --> 0:26:17.120
<v Speaker 4>There's actually a lot more complicated mechanisms that happen because, surprise, surprise,

0:26:17.600 --> 0:26:21.320
<v Speaker 4>our brain is a complex creature. What I know, right,

0:26:21.800 --> 0:26:25.640
<v Speaker 4>So what ends up happening is that the parts of

0:26:25.680 --> 0:26:31.760
<v Speaker 4>our neuron that usually release serotonin m hm, the picture,

0:26:31.840 --> 0:26:33.760
<v Speaker 4>I guess. I know this is really getting out of

0:26:33.800 --> 0:26:34.360
<v Speaker 4>control here.

0:26:34.480 --> 0:26:37.399
<v Speaker 3>The pitching machine, the pitching machine, because if it's multiple

0:26:37.480 --> 0:26:39.320
<v Speaker 3>little serotonin.

0:26:38.720 --> 0:26:42.640
<v Speaker 4>Balls, okay, it's a pitching machine, our serotonin pitching machine,

0:26:43.359 --> 0:26:47.120
<v Speaker 4>it stops doing its job because it's like, hey, there's

0:26:47.160 --> 0:26:50.400
<v Speaker 4>plenty of balls out here, right right, So we see

0:26:50.440 --> 0:26:56.320
<v Speaker 4>a compensatory down regulation in the serotonin release from these, okay,

0:26:56.440 --> 0:26:59.959
<v Speaker 4>And then what we actually see later on is a

0:27:00.200 --> 0:27:03.480
<v Speaker 4>post synaptic receptors, the ones who are being flushed with

0:27:03.520 --> 0:27:06.000
<v Speaker 4>all of this serotonin. Because there is an increase in

0:27:06.080 --> 0:27:11.160
<v Speaker 4>the synaptic serotonin, they also kind of modulate their sensitivity

0:27:11.240 --> 0:27:14.240
<v Speaker 4>to that serotonin where they're like, I'm not gonna swing

0:27:14.359 --> 0:27:17.879
<v Speaker 4>at every ball. That's a really bad analogy. But the

0:27:18.000 --> 0:27:22.159
<v Speaker 4>receptors aren't going to bind to every molecule of serotonin

0:27:22.440 --> 0:27:25.320
<v Speaker 4>because there's so much out there. Because there's more out there, okay,

0:27:26.359 --> 0:27:29.280
<v Speaker 4>and because our brain is trying to keep things to

0:27:29.280 --> 0:27:33.240
<v Speaker 4>some degree homeostatic, it recognizes, Hey, there's been a shift

0:27:33.720 --> 0:27:35.840
<v Speaker 4>in something, and we don't want that to get out

0:27:35.880 --> 0:27:36.400
<v Speaker 4>of control.

0:27:36.840 --> 0:27:41.280
<v Speaker 3>Okay, Okay, So what happens with SSRIs is that there's

0:27:41.400 --> 0:27:45.440
<v Speaker 3>a ton of serotonin just flooded into that intersynaptic space,

0:27:46.480 --> 0:27:48.640
<v Speaker 3>and then which go ahead.

0:27:48.480 --> 0:27:50.840
<v Speaker 4>Well, and it's not that it's like a ton. There

0:27:50.880 --> 0:27:54.080
<v Speaker 4>is an increase in serotonin, but it's because the serotonin

0:27:54.119 --> 0:27:58.439
<v Speaker 4>that's there already lingers for longer and can't be scooped

0:27:58.520 --> 0:27:58.960
<v Speaker 4>back up.

0:27:59.440 --> 0:27:59.720
<v Speaker 3>Okay.

0:28:00.000 --> 0:28:02.200
<v Speaker 4>And then because of that, you would think that, oh,

0:28:02.280 --> 0:28:04.840
<v Speaker 4>the pitching machine just keeps throwing out more serotonin. Then

0:28:04.840 --> 0:28:06.800
<v Speaker 4>you have a huge increase, but we don't actually see

0:28:06.880 --> 0:28:07.680
<v Speaker 4>that stops.

0:28:07.720 --> 0:28:11.760
<v Speaker 3>It just kind of compensates, flows down increase exactly. And

0:28:11.800 --> 0:28:15.520
<v Speaker 3>then the catcher or whoever's hitting or whatever is like,

0:28:15.640 --> 0:28:17.320
<v Speaker 3>I'm not going to swing at every ball.

0:28:17.119 --> 0:28:18.880
<v Speaker 4>Now, right exactly, I'm not going to Okay.

0:28:18.880 --> 0:28:22.879
<v Speaker 3>So it's like then that's interesting. Okay. So a couple

0:28:22.920 --> 0:28:27.480
<v Speaker 3>of questions, Okay, how more oh before we go there? Yeah,

0:28:27.480 --> 0:28:32.040
<v Speaker 3>how long does that compensatory reaction take? How long does

0:28:32.080 --> 0:28:36.120
<v Speaker 3>it take for the the machine to stop pumping out

0:28:36.119 --> 0:28:40.080
<v Speaker 3>serotonin and the batter to stop swinging at every ball?

0:28:40.200 --> 0:28:41.840
<v Speaker 4>That's a good question. I don't know the answer to that.

0:28:41.880 --> 0:28:46.440
<v Speaker 4>I don't know the timeline per se. Okay, yeah, did

0:28:46.440 --> 0:28:49.440
<v Speaker 4>you have another before? I keep going on what we say, okay, okay, okay.

0:28:49.640 --> 0:28:51.880
<v Speaker 4>So but from that we can see that while we

0:28:51.960 --> 0:28:54.000
<v Speaker 4>know this is the mechanism, like we know this is

0:28:54.400 --> 0:28:58.080
<v Speaker 4>what this drug is doing and where it is binding. Yeah,

0:28:58.520 --> 0:29:03.840
<v Speaker 4>but that is not alone what is helping depression? So

0:29:03.880 --> 0:29:06.360
<v Speaker 4>what else is going on? And the more that we

0:29:06.400 --> 0:29:08.680
<v Speaker 4>have started to look at it, what we also see

0:29:08.880 --> 0:29:15.720
<v Speaker 4>is these downstream effects because it turns out that SSRIs

0:29:15.960 --> 0:29:20.680
<v Speaker 4>and a lot of other antidepressants, they end up modulating

0:29:21.160 --> 0:29:26.560
<v Speaker 4>by one degree our gene expression. Okay, okay, let me

0:29:26.560 --> 0:29:30.960
<v Speaker 4>tell you what I mean by this. Yeah, okay, Because

0:29:31.000 --> 0:29:36.880
<v Speaker 4>serotonin and other monoamines are involved in so many different processes.

0:29:38.360 --> 0:29:42.760
<v Speaker 4>Down the line, antidepressant drugs seem to have effects on

0:29:43.600 --> 0:29:48.840
<v Speaker 4>adjusting the upregulation and down regulation of other factors that

0:29:48.880 --> 0:29:52.880
<v Speaker 4>are produced in our brain. So the drug is not

0:29:52.960 --> 0:29:57.040
<v Speaker 4>doing this but downstream over time. I know your face

0:29:57.120 --> 0:29:58.320
<v Speaker 4>is like, this makes no sense.

0:29:59.160 --> 0:30:01.800
<v Speaker 3>I'm just trying to I'm trying to keep everything in line.

0:30:02.080 --> 0:30:04.640
<v Speaker 4>I know it's not in line, and there's no baseball

0:30:04.680 --> 0:30:10.440
<v Speaker 4>analogy for this one. Okay, we'll say about that, but basically,

0:30:12.040 --> 0:30:13.760
<v Speaker 4>and we don't know, Like this is where it gets

0:30:13.880 --> 0:30:16.160
<v Speaker 4>very complicated, Aaron, because we don't know exactly what is

0:30:16.160 --> 0:30:18.760
<v Speaker 4>doing this. But what we know is that in people

0:30:18.800 --> 0:30:22.320
<v Speaker 4>on antidepressants or in animal studies of antidepressants, we see

0:30:22.400 --> 0:30:25.880
<v Speaker 4>changes in gene expression. We see increases in things like

0:30:26.040 --> 0:30:31.680
<v Speaker 4>brain derived neurotropic factor or BDNF, as well as other

0:30:31.760 --> 0:30:35.520
<v Speaker 4>growth factors, vascular endothelial growth factor, genes that are linked

0:30:35.600 --> 0:30:43.120
<v Speaker 4>to neuroplasticity, activity dependent genes, other signaling molecules, and antidepressant

0:30:43.160 --> 0:30:46.560
<v Speaker 4>treatment is associated with a wide array of changes in

0:30:46.600 --> 0:30:49.560
<v Speaker 4>gene expression, and we think that some of these might

0:30:49.680 --> 0:30:55.800
<v Speaker 4>be mediated by other serotonin receptors, not the transporter that

0:30:55.960 --> 0:31:00.600
<v Speaker 4>is being affected by the drug itself, but by various

0:31:00.640 --> 0:31:04.640
<v Speaker 4>other serotonin receptors, because there are literally dozens of different

0:31:04.680 --> 0:31:07.360
<v Speaker 4>types of serotonin receptors in different parts of our brain

0:31:07.400 --> 0:31:11.280
<v Speaker 4>and different parts of our body who do different things. Okay,

0:31:11.600 --> 0:31:15.600
<v Speaker 4>so once you've then increased the amount of serotonin down

0:31:15.680 --> 0:31:19.920
<v Speaker 4>the line, what other receptors are some of these serotonins

0:31:20.280 --> 0:31:24.640
<v Speaker 4>acting on that is changing other pathways in our brain.

0:31:25.960 --> 0:31:30.280
<v Speaker 3>And these other pathways are serotonin related, but not the

0:31:30.320 --> 0:31:33.160
<v Speaker 3>specific receptor or they're just pathways.

0:31:33.360 --> 0:31:37.880
<v Speaker 4>They are may they may be serotonin receptor related, so

0:31:38.040 --> 0:31:40.840
<v Speaker 4>like other not the serotonin receptor that gets the most

0:31:40.840 --> 0:31:46.800
<v Speaker 4>attention in SSRIs, and not the transporter protein that's being

0:31:46.840 --> 0:31:50.680
<v Speaker 4>blocked by SSRIs yep, but by other ones. And some

0:31:50.760 --> 0:31:54.000
<v Speaker 4>additional evidence that's pointing to these kinds of gene expression

0:31:54.040 --> 0:31:58.520
<v Speaker 4>pathways as being important are investigations into other types of

0:31:58.520 --> 0:32:03.880
<v Speaker 4>antidepressants that are more like psilocybin as well as ketamine,

0:32:04.520 --> 0:32:07.280
<v Speaker 4>which has a lot of really great data for it,

0:32:07.360 --> 0:32:11.360
<v Speaker 4>especially with treatment resistant depression. Both of these have actions

0:32:11.400 --> 0:32:13.960
<v Speaker 4>on a lot of different receptors and are not mediated

0:32:14.040 --> 0:32:17.200
<v Speaker 4>directly through serotonin, but they do seem to have action

0:32:17.360 --> 0:32:21.960
<v Speaker 4>on other types of serotonin receptors that more directly modulate

0:32:22.000 --> 0:32:26.280
<v Speaker 4>things like neuroplasticity. And the more that we look at

0:32:26.320 --> 0:32:29.280
<v Speaker 4>things like neuroplasticity, which is your brain's ability to kind

0:32:29.320 --> 0:32:33.240
<v Speaker 4>of change and like continue to change over time, the

0:32:33.240 --> 0:32:35.960
<v Speaker 4>more that we think that that is very, very involved

0:32:36.200 --> 0:32:38.040
<v Speaker 4>in depression and anxiety.

0:32:38.080 --> 0:32:41.320
<v Speaker 3>To begin with, Okay, I just want to put a

0:32:41.400 --> 0:32:44.680
<v Speaker 3>quick plug in for an Advances and Care episode on

0:32:44.960 --> 0:32:49.320
<v Speaker 3>psychedelics and psilocybin and some of these other formulations. Super fascinating.

0:32:49.560 --> 0:32:50.320
<v Speaker 3>Go check it out.

0:32:50.600 --> 0:32:51.200
<v Speaker 4>Very interesting.

0:32:51.680 --> 0:32:54.960
<v Speaker 3>So it's really it's really interesting research. Okay, So before

0:32:55.000 --> 0:32:56.680
<v Speaker 3>we keep going, though, I just want to make sure

0:32:56.720 --> 0:32:59.800
<v Speaker 3>I understand. Yes again, so we've got we've got this

0:33:00.000 --> 0:33:04.040
<v Speaker 3>specific receptor targeted action that it's doing with this one

0:33:04.280 --> 0:33:10.640
<v Speaker 3>serotonin transport transporter. And then that's not the only thing

0:33:10.680 --> 0:33:12.960
<v Speaker 3>that there are other things that are being affected in

0:33:13.080 --> 0:33:16.400
<v Speaker 3>ways that we don't quite understand, that we can't quite predict.

0:33:16.840 --> 0:33:20.000
<v Speaker 3>But it has to do something with serotonin, these pathways

0:33:20.000 --> 0:33:23.600
<v Speaker 3>that are other serotonin type receptors. Yes, okay, so it

0:33:23.640 --> 0:33:26.120
<v Speaker 3>would be like, here's my baseball analogy if we could,

0:33:26.200 --> 0:33:28.720
<v Speaker 3>if we could continue, it would be like if you're

0:33:28.800 --> 0:33:32.920
<v Speaker 3>changing the settings on that pitching machine, and that pitching

0:33:32.960 --> 0:33:38.160
<v Speaker 3>machine is then being like send out fewer balls in

0:33:38.440 --> 0:33:41.680
<v Speaker 3>decrease frequency. Wait, and then those settings though, are also

0:33:41.720 --> 0:33:45.800
<v Speaker 3>somehow impacting the tennis court and the soccer ball court

0:33:45.880 --> 0:33:49.640
<v Speaker 3>or the soccer field, and the basketball court and the

0:33:49.640 --> 0:33:54.600
<v Speaker 3>pickleball because everyone's into pickleball. It's all of those things.

0:33:54.600 --> 0:33:58.120
<v Speaker 4>Are all of these courts are being affected by by

0:33:58.440 --> 0:34:02.000
<v Speaker 4>blocking the Yeah, catcher.

0:34:01.720 --> 0:34:03.880
<v Speaker 3>But it was unexpected. It was like, whoa, this is

0:34:03.920 --> 0:34:05.680
<v Speaker 3>only supposed to affect right this.

0:34:06.320 --> 0:34:08.480
<v Speaker 4>Okay, let's let's say that that's close.

0:34:09.400 --> 0:34:14.200
<v Speaker 3>Okay, thank you for that, promea bone.

0:34:14.360 --> 0:34:16.480
<v Speaker 4>I'm actually very curious to hear from like someone who

0:34:16.480 --> 0:34:18.719
<v Speaker 4>really studies this if that's a good analogy. Can some

0:34:18.840 --> 0:34:19.279
<v Speaker 4>of us know?

0:34:19.480 --> 0:34:23.879
<v Speaker 3>Because that's I'm nearly certain it's not, and I apologize.

0:34:23.880 --> 0:34:25.719
<v Speaker 3>I like the idea of it. Thank you.

0:34:26.080 --> 0:34:29.560
<v Speaker 4>I will also say, like, this is one potential hypothesis,

0:34:29.640 --> 0:34:32.319
<v Speaker 4>right that it's like through this gene expression, through these

0:34:32.400 --> 0:34:36.840
<v Speaker 4>other you know, pathways. There are other hypotheses as well.

0:34:37.000 --> 0:34:40.200
<v Speaker 4>There is also some evidence, or some hypotheses with some

0:34:40.400 --> 0:34:47.239
<v Speaker 4>evidence to support them, that SSRIs don't necessarily improve our

0:34:47.440 --> 0:34:51.359
<v Speaker 4>mood per se, but do induce a shift in our

0:34:51.600 --> 0:34:55.920
<v Speaker 4>perceptive state. Right, So, like how we perceive positive versus

0:34:55.960 --> 0:34:59.480
<v Speaker 4>negative stimuli, which then makes it easier for our brains

0:34:59.600 --> 0:35:02.680
<v Speaker 4>to are interpreting things with a positive bias rather than

0:35:02.719 --> 0:35:06.600
<v Speaker 4>a negative bias in our emotional processing. And we can

0:35:06.640 --> 0:35:09.720
<v Speaker 4>actually see some of that like positive versus negative stimuli

0:35:09.800 --> 0:35:14.200
<v Speaker 4>bias change even with like short term, like really short term,

0:35:14.239 --> 0:35:16.640
<v Speaker 4>like like a couple of days or like one dose

0:35:16.719 --> 0:35:19.840
<v Speaker 4>of SSRIs and so then is it that change in

0:35:19.920 --> 0:35:24.000
<v Speaker 4>bias over time that allows us our brain to but

0:35:24.080 --> 0:35:28.000
<v Speaker 4>we don't know. Okay, this is some of our ideas. Okay,

0:35:29.200 --> 0:35:32.279
<v Speaker 4>So that's what we know about SSRIs and how they work.

0:35:32.360 --> 0:35:35.720
<v Speaker 4>Can Can I be done with the brain part for now? Okay?

0:35:35.719 --> 0:35:36.359
<v Speaker 3>I'll allow it.

0:35:36.560 --> 0:35:40.520
<v Speaker 4>No, because what I want to move into next is

0:35:40.560 --> 0:35:46.560
<v Speaker 4>the idea or the question of do they work? Because

0:35:46.760 --> 0:35:51.800
<v Speaker 4>for some reason this is still a question out there.

0:35:52.880 --> 0:35:58.880
<v Speaker 4>The answer in short is yes, they work, and also

0:35:59.400 --> 0:36:01.239
<v Speaker 4>they might not always work.

0:36:02.000 --> 0:36:05.680
<v Speaker 3>Yeah, I think again, not a new.

0:36:06.239 --> 0:36:08.600
<v Speaker 4>Not a new concept, but I'm going to get into

0:36:08.880 --> 0:36:11.360
<v Speaker 4>detail on it. Yes, there's more than a few nuances

0:36:11.920 --> 0:36:15.399
<v Speaker 4>because first, there there's so many levels of this AARIN.

0:36:16.520 --> 0:36:20.920
<v Speaker 4>So first, some people who are experiencing depression will get

0:36:20.960 --> 0:36:24.839
<v Speaker 4>better on their own without any treatment or intervention. What

0:36:24.880 --> 0:36:27.759
<v Speaker 4>do I mean by get better? Great question. There's two

0:36:27.880 --> 0:36:29.839
<v Speaker 4>metrics that we tend to look at when we're looking

0:36:29.880 --> 0:36:34.960
<v Speaker 4>at depression. There's remission, meaning that your depression scale, your

0:36:34.960 --> 0:36:39.680
<v Speaker 4>depression score, it's usually the Hamilton Depression Rating scale. It

0:36:40.040 --> 0:36:43.120
<v Speaker 4>drops below a threshold usually seven. It means you don't

0:36:43.120 --> 0:36:47.560
<v Speaker 4>really have any symptoms of depression. There's also response, and

0:36:47.640 --> 0:36:50.560
<v Speaker 4>response means that you've got a fifty percent reduction in

0:36:50.600 --> 0:36:54.440
<v Speaker 4>your score or in your symptoms. Okay, so there's two

0:36:54.480 --> 0:37:00.600
<v Speaker 4>different metrics remission and response. Neither of these specifically address

0:37:00.640 --> 0:37:04.359
<v Speaker 4>the fact that depression is defined by its effects on

0:37:04.400 --> 0:37:05.440
<v Speaker 4>your life and function.

0:37:06.960 --> 0:37:10.160
<v Speaker 3>But right it's just the score. It's score related.

0:37:09.920 --> 0:37:11.560
<v Speaker 4>Or related, and that is what we do.

0:37:11.680 --> 0:37:14.960
<v Speaker 3>Okay, Okay, so just a quick question. So this is

0:37:15.640 --> 0:37:20.080
<v Speaker 3>that final question of is this impacting your life? Could

0:37:20.160 --> 0:37:23.040
<v Speaker 3>still be a yes, but if the other symptoms are

0:37:24.120 --> 0:37:27.680
<v Speaker 3>if your score is reduced because the other checklists are

0:37:27.920 --> 0:37:31.840
<v Speaker 3>different than you, so then you could be shown to

0:37:31.880 --> 0:37:34.680
<v Speaker 3>have a response response but still impacted.

0:37:35.000 --> 0:37:37.880
<v Speaker 4>Absolutely, absolutely, especially when we look at response with remission,

0:37:38.000 --> 0:37:40.360
<v Speaker 4>it really should be like your symptoms are essentially gone,

0:37:40.440 --> 0:37:43.759
<v Speaker 4>you're scoring very low and so presumably hopefully that's not

0:37:43.800 --> 0:37:46.120
<v Speaker 4>impacting your life. But we're not necessarily looking at that

0:37:46.400 --> 0:37:49.920
<v Speaker 4>part of it. We're looking at the score. So in

0:37:49.960 --> 0:37:52.000
<v Speaker 4>the short term, studies that have looked at this, and

0:37:52.040 --> 0:37:53.759
<v Speaker 4>all of these studies are so flawed, Aaron, There's so

0:37:53.760 --> 0:37:55.360
<v Speaker 4>many ways that all of these studies are flawed. But

0:37:55.400 --> 0:37:56.640
<v Speaker 4>I'm just going to give you the data that we

0:37:56.680 --> 0:38:00.440
<v Speaker 4>have in studies that have looked at people on like

0:38:00.520 --> 0:38:05.000
<v Speaker 4>a wait list or what they call care as usual,

0:38:05.080 --> 0:38:08.840
<v Speaker 4>which I'm not even sure exactly what that entails. Basically,

0:38:08.880 --> 0:38:11.920
<v Speaker 4>people who are in a study about depression but who

0:38:12.000 --> 0:38:17.120
<v Speaker 4>are not getting any specific depression treatment. Short term rates

0:38:17.160 --> 0:38:20.480
<v Speaker 4>of remission over like three months or twelve weeks or

0:38:20.520 --> 0:38:24.760
<v Speaker 4>so range from about twelve to twenty percent. So about

0:38:24.800 --> 0:38:27.040
<v Speaker 4>twelve to twenty percent of people who are in a

0:38:27.080 --> 0:38:31.000
<v Speaker 4>study about depression not receiving treatment will get better, will

0:38:31.000 --> 0:38:36.600
<v Speaker 4>have remission. Long term, we think that about half of

0:38:36.719 --> 0:38:42.160
<v Speaker 4>people fifty percent or so will have remission of their symptoms.

0:38:42.120 --> 0:38:43.680
<v Speaker 3>In with without.

0:38:43.640 --> 0:38:45.600
<v Speaker 4>Without treatment, without treatment.

0:38:45.880 --> 0:38:48.680
<v Speaker 3>Okay, not just SSRII, but any form of.

0:38:48.600 --> 0:38:52.320
<v Speaker 4>Truth without without any without any therapy, without any treatment.

0:38:53.239 --> 0:38:55.719
<v Speaker 4>This is what we think based on studies. Now, depression

0:38:55.760 --> 0:38:58.759
<v Speaker 4>is also a very like waxing and waning and remitting

0:38:58.840 --> 0:39:01.480
<v Speaker 4>type of disease, and so something like seventy percent of

0:39:01.480 --> 0:39:03.840
<v Speaker 4>people who have an episode of depression might have a

0:39:03.840 --> 0:39:07.160
<v Speaker 4>second episode at some point in their lives. Okay, Then

0:39:07.239 --> 0:39:10.880
<v Speaker 4>if we look at placebo controlled studies, because all of

0:39:10.920 --> 0:39:14.400
<v Speaker 4>these pills had to be tested against placebo pills, sugar pills,

0:39:15.320 --> 0:39:18.719
<v Speaker 4>and there is so much out there about the placebo response,

0:39:19.360 --> 0:39:25.280
<v Speaker 4>but in these studies, placebos tend to have a response rate,

0:39:25.680 --> 0:39:28.920
<v Speaker 4>so that means a reduction in your symptoms at twelve weeks.

0:39:28.960 --> 0:39:32.320
<v Speaker 4>Because almost all these studies are short term of about

0:39:32.400 --> 0:39:36.520
<v Speaker 4>thirty five to forty percent on average, so thirty five

0:39:36.560 --> 0:39:39.160
<v Speaker 4>to forty percent of people in a clinical trial that

0:39:39.200 --> 0:39:42.359
<v Speaker 4>are given a sugar pill to treat their depression might

0:39:42.480 --> 0:39:47.600
<v Speaker 4>improve in their symptoms. Only about twenty percent might meet

0:39:47.640 --> 0:39:49.760
<v Speaker 4>that remission threshold.

0:39:50.040 --> 0:39:53.400
<v Speaker 3>And this is these are short term studies to term studies,

0:39:53.480 --> 0:39:57.360
<v Speaker 3>and so we don't know anything about sustained improvement correct

0:39:57.560 --> 0:40:01.799
<v Speaker 3>correct SSRI across the board. And there are a lot

0:40:01.840 --> 0:40:04.520
<v Speaker 3>of different SSRIs and we don't have great data to

0:40:04.560 --> 0:40:07.640
<v Speaker 3>tease them all apart. But SSRIs across the board tend

0:40:07.640 --> 0:40:11.759
<v Speaker 3>to have response rates of fifty to sixty percent and

0:40:11.880 --> 0:40:17.040
<v Speaker 3>remission rates around forty to forty five percent. So what

0:40:17.200 --> 0:40:22.759
<v Speaker 3>does that mean overall? What it means is that on

0:40:22.840 --> 0:40:30.640
<v Speaker 3>the whole, SSRIs are consistently and significantly better than placebos alone.

0:40:31.520 --> 0:40:37.279
<v Speaker 4>Yeah, and they are statistically and significantly better than no

0:40:37.440 --> 0:40:40.880
<v Speaker 4>treatment at all or care as usual, meaning no specific

0:40:41.080 --> 0:40:46.280
<v Speaker 4>treatment for your depression. When we look at other types

0:40:46.280 --> 0:40:51.200
<v Speaker 4>of treatment like psychotherapies, Cognitive behavioral therapy is the best studied,

0:40:52.239 --> 0:40:55.040
<v Speaker 4>but other psychotherapies have been studies as well. Usually we

0:40:55.080 --> 0:40:58.120
<v Speaker 4>see about a forty one percent response rate and a

0:40:58.160 --> 0:41:02.240
<v Speaker 4>thirty percent remittance rate rate at eight weeks or so. Okay,

0:41:02.239 --> 0:41:08.920
<v Speaker 4>so better than placebo again and relatively comparable honestly to SSRIs.

0:41:09.360 --> 0:41:12.760
<v Speaker 3>What about SSRIs and combination with CBT.

0:41:12.560 --> 0:41:14.560
<v Speaker 4>Great question. They tend to do a little bit better.

0:41:14.600 --> 0:41:17.560
<v Speaker 4>There's not quite as many studies like comparing those directly

0:41:17.640 --> 0:41:20.439
<v Speaker 4>in things, but they tend to do well. The other

0:41:20.520 --> 0:41:23.040
<v Speaker 4>thing though, Okay, there's a lot. There's so many things.

0:41:23.480 --> 0:41:24.439
<v Speaker 3>I have so much, so.

0:41:24.320 --> 0:41:30.839
<v Speaker 4>Many others already. Yeah. The other thing to consider is

0:41:30.880 --> 0:41:34.360
<v Speaker 4>that the studies that look at these different types of

0:41:34.400 --> 0:41:38.640
<v Speaker 4>therapies might sometimes be different. For example, all of these

0:41:38.680 --> 0:41:43.000
<v Speaker 4>studies are going to have a lot of exclusion criteria

0:41:43.560 --> 0:41:46.520
<v Speaker 4>because these are studies that are looking at a pill

0:41:47.200 --> 0:41:49.279
<v Speaker 4>versus a no pill or something like that, or a

0:41:49.360 --> 0:41:53.319
<v Speaker 4>therapy versus a waiting list. The studies, especially that use

0:41:53.320 --> 0:41:56.440
<v Speaker 4>waiting list controls, tend to not include people who have

0:41:56.600 --> 0:41:59.759
<v Speaker 4>very severe depression. Certainly, they don't include people who have

0:41:59.760 --> 0:42:02.480
<v Speaker 4>SEU sitle ideation, because that would not be considered safe

0:42:02.520 --> 0:42:06.400
<v Speaker 4>to like not offer someone any treatment ethical, Yeah, And

0:42:07.200 --> 0:42:09.800
<v Speaker 4>so similarly, like there can be a lot of variation,

0:42:09.840 --> 0:42:11.879
<v Speaker 4>there's also a ton of variation in like how people

0:42:11.920 --> 0:42:15.560
<v Speaker 4>are doing these studies, like the settings and everything. And

0:42:15.840 --> 0:42:21.920
<v Speaker 4>when we're thinking about placebo responses, which is a combination

0:42:22.440 --> 0:42:25.239
<v Speaker 4>of the effect of someone taking a pill that doesn't

0:42:25.280 --> 0:42:29.120
<v Speaker 4>actually have anything in it. That's the placebo effect part, okay,

0:42:29.200 --> 0:42:33.200
<v Speaker 4>but the response that we see is also the setting

0:42:33.280 --> 0:42:38.600
<v Speaker 4>of a clinical trial where participants having regular and frequent

0:42:38.719 --> 0:42:42.799
<v Speaker 4>contact with a healthcare environment, where someone is asking them,

0:42:42.840 --> 0:42:46.319
<v Speaker 4>often on a weekly basis, how are you, How is

0:42:46.360 --> 0:42:49.600
<v Speaker 4>your mood? Please fill out this questionnaire about how your

0:42:49.680 --> 0:42:53.239
<v Speaker 4>mood is. Check in with yourself, chork in with yourself,

0:42:53.400 --> 0:42:57.200
<v Speaker 4>check in with me who's asking you these questions. You're

0:42:57.360 --> 0:43:04.359
<v Speaker 4>also having an expect dictation that something could help, right,

0:43:05.440 --> 0:43:08.920
<v Speaker 4>and so we know that all of that is going

0:43:08.960 --> 0:43:12.000
<v Speaker 4>to like, I mean from the data that those things

0:43:12.160 --> 0:43:17.040
<v Speaker 4>are effective for some people in improving symptoms of depression

0:43:17.200 --> 0:43:22.120
<v Speaker 4>and anxiety. And still on the whole, the improvement rate

0:43:22.280 --> 0:43:26.799
<v Speaker 4>of SSRIs over placebos is significant in terms of whether

0:43:26.800 --> 0:43:28.880
<v Speaker 4>you're looking at effect size, whether you're looking at the

0:43:29.480 --> 0:43:32.759
<v Speaker 4>response and remission rates in terms of percentages, the other

0:43:32.840 --> 0:43:35.080
<v Speaker 4>thing that we can calculate from this, And I think

0:43:35.080 --> 0:43:39.799
<v Speaker 4>this is an important number because some people with depression

0:43:39.920 --> 0:43:43.440
<v Speaker 4>or anxiety will improve on their own without any treatment.

0:43:44.280 --> 0:43:47.880
<v Speaker 4>Some people with depression or anxiety will improve if you

0:43:48.000 --> 0:43:52.120
<v Speaker 4>give them a pill or a something that says this

0:43:52.239 --> 0:43:56.560
<v Speaker 4>will help you. And some people will improve because of

0:43:56.600 --> 0:43:58.800
<v Speaker 4>the effects of the SSRIs.

0:43:58.560 --> 0:44:01.440
<v Speaker 3>And some people won't improve at all.

0:44:01.360 --> 0:44:04.920
<v Speaker 4>Some people won't improve at all. So we can calculate

0:44:04.960 --> 0:44:08.719
<v Speaker 4>what's called a number needed to treat, to try and

0:44:08.960 --> 0:44:13.759
<v Speaker 4>estimate how many people have to be given SSRIs to

0:44:13.840 --> 0:44:17.560
<v Speaker 4>get one person to experience remission who would not have

0:44:17.719 --> 0:44:22.279
<v Speaker 4>otherwise remitted on their own. Interesting and for we can

0:44:22.320 --> 0:44:24.120
<v Speaker 4>do this for therapies, and we can do this for

0:44:24.239 --> 0:44:27.720
<v Speaker 4>SSRI psychotherapy and SSRI okay, And most of the studies

0:44:27.760 --> 0:44:30.960
<v Speaker 4>big picture estimate a number needed to treat for therapy

0:44:31.080 --> 0:44:35.319
<v Speaker 4>of about five. So for every five people who are

0:44:35.360 --> 0:44:38.640
<v Speaker 4>in therapy or who are prescribed therapy for their depression,

0:44:39.400 --> 0:44:42.440
<v Speaker 4>one person will improve who would not have approved otherwise.

0:44:42.840 --> 0:44:45.239
<v Speaker 4>And for SSRIs it's like seven to nine.

0:44:46.080 --> 0:44:47.600
<v Speaker 3>Interesting, Okay, Okay.

0:44:47.920 --> 0:44:51.520
<v Speaker 4>Now here's another big problem with all of those studies.

0:44:52.320 --> 0:44:54.800
<v Speaker 4>They are not the real world.

0:44:55.719 --> 0:45:02.040
<v Speaker 3>That's okay, yeah, and are any looking long term?

0:45:02.320 --> 0:45:05.719
<v Speaker 4>There are long term studies. They're not great and so

0:45:05.800 --> 0:45:08.200
<v Speaker 4>I don't I don't have like, I don't have great

0:45:08.239 --> 0:45:11.520
<v Speaker 4>numbers for you on that. In all honesty and new

0:45:12.680 --> 0:45:16.319
<v Speaker 4>all right, we do know that relapse rates tend to

0:45:16.320 --> 0:45:19.160
<v Speaker 4>be higher if somebody stops. If someone is started on

0:45:19.200 --> 0:45:22.600
<v Speaker 4>an SSRI and improves, they are much more likely to

0:45:22.640 --> 0:45:25.680
<v Speaker 4>relapse if that SSRI is stopped before six to twelve

0:45:25.719 --> 0:45:28.920
<v Speaker 4>months of therapy. Okay, so there is good data to

0:45:28.960 --> 0:45:31.319
<v Speaker 4>suggest that you want to continue therapy for at least

0:45:31.320 --> 0:45:34.640
<v Speaker 4>six to twelve months to reduce the rate of relapse.

0:45:34.640 --> 0:45:37.360
<v Speaker 4>It does not mean that someone wouldn't have another episode

0:45:37.360 --> 0:45:39.560
<v Speaker 4>in the future, but that can kind of help to

0:45:39.640 --> 0:45:40.120
<v Speaker 4>prevent that.

0:45:40.520 --> 0:45:44.280
<v Speaker 3>And just to clarify, you mean taking an SSRI, not psychotherapy.

0:45:44.640 --> 0:45:47.680
<v Speaker 4>Correct and psychotherapy. We have better data that like a

0:45:47.920 --> 0:45:52.360
<v Speaker 4>fixed term of therapy like say twelve weeks or whatever

0:45:52.800 --> 0:45:57.400
<v Speaker 4>timeframe it is, can have long term benefits, whereas with SSRIs,

0:45:57.440 --> 0:45:59.040
<v Speaker 4>even if you see improvement at twelve weeks, if you

0:45:59.120 --> 0:46:01.160
<v Speaker 4>then stop, it not going to continue to see that

0:46:01.160 --> 0:46:03.680
<v Speaker 4>improvement a year from now, but you would if you

0:46:03.760 --> 0:46:05.640
<v Speaker 4>continued it for a year and then tapered off, you'd

0:46:05.680 --> 0:46:09.840
<v Speaker 4>be more likely to see sustained improvement. But there is

0:46:09.880 --> 0:46:12.560
<v Speaker 4>a big study that was a pretty huge moment in

0:46:12.560 --> 0:46:16.280
<v Speaker 4>like depression research that tried to look at more real

0:46:16.360 --> 0:46:19.760
<v Speaker 4>world scenarios. And I'm not going to dig like super

0:46:19.800 --> 0:46:23.279
<v Speaker 4>super deep on this study design. I do link to it,

0:46:23.320 --> 0:46:25.200
<v Speaker 4>and there's been a ton of papers published from it.

0:46:25.200 --> 0:46:28.719
<v Speaker 4>It was called the star D Trial, and this was

0:46:28.840 --> 0:46:31.840
<v Speaker 4>pretty huge because A it was a very large study.

0:46:32.560 --> 0:46:37.800
<v Speaker 4>B It included a much more realistic sample of people

0:46:37.880 --> 0:46:41.600
<v Speaker 4>who were experiencing depression. It was like community based kind

0:46:41.640 --> 0:46:44.560
<v Speaker 4>of where it wasn't just you know, it included people

0:46:44.600 --> 0:46:47.600
<v Speaker 4>who had comorbidities, who had other mental health disorders, who

0:46:47.600 --> 0:46:50.560
<v Speaker 4>had substance use disorders like it just a more realistic

0:46:50.600 --> 0:46:55.080
<v Speaker 4>sample than was usually included in these pharmaceutical trials. And

0:46:55.120 --> 0:46:58.000
<v Speaker 4>then it walked them through this kind of step wise

0:46:58.160 --> 0:47:01.440
<v Speaker 4>therapy where we see, we give everybody one drug, and

0:47:01.520 --> 0:47:04.080
<v Speaker 4>then we see who responds and who doesn't, and then

0:47:04.120 --> 0:47:06.879
<v Speaker 4>if they don't respond, then we randomize them. It wasn't

0:47:06.920 --> 0:47:09.200
<v Speaker 4>perfectly landom but we randomize them to a bunch of

0:47:09.239 --> 0:47:12.520
<v Speaker 4>different possible treatments, either stop that and switch to something new,

0:47:12.920 --> 0:47:15.880
<v Speaker 4>or add things or add therapy or whatever it was.

0:47:16.480 --> 0:47:18.359
<v Speaker 4>And then after level two they go to level three,

0:47:18.440 --> 0:47:21.960
<v Speaker 4>level four. There was like four levels overall. Bottom line

0:47:21.960 --> 0:47:26.560
<v Speaker 4>results from this were that about one third of people

0:47:27.280 --> 0:47:32.040
<v Speaker 4>reached remission with only the first line SSRI, which was

0:47:32.040 --> 0:47:35.160
<v Speaker 4>satalopram in this case. Okay, by the end of the

0:47:35.239 --> 0:47:41.000
<v Speaker 4>second stage, the cumulative remission rate was fifty percent, and

0:47:41.040 --> 0:47:43.760
<v Speaker 4>by the end of the study about seventy percent of people.

0:47:43.840 --> 0:47:46.440
<v Speaker 4>So if you went through all these different possibilities, about

0:47:46.480 --> 0:47:50.560
<v Speaker 4>seventy percent of people had remission. Again, that doesn't mean

0:47:50.560 --> 0:47:55.240
<v Speaker 4>they might never relapse, but it certainly is meaningful. Now,

0:47:55.560 --> 0:47:58.120
<v Speaker 4>before you even ask a question, I have to caveat

0:47:58.239 --> 0:48:02.160
<v Speaker 4>this because the study is old at the point and

0:48:02.239 --> 0:48:05.879
<v Speaker 4>a more recent kind of renalysis, and I will say

0:48:05.880 --> 0:48:08.719
<v Speaker 4>by people who seem to not like SSRIs based on

0:48:08.760 --> 0:48:12.239
<v Speaker 4>all their other published papers, but they reanalyzed this data

0:48:12.280 --> 0:48:15.600
<v Speaker 4>and actually estimated a slightly lower remission rate. So they said, no,

0:48:15.680 --> 0:48:17.480
<v Speaker 4>it wasn't you know, a third of people. It was

0:48:17.480 --> 0:48:21.719
<v Speaker 4>actually like twenty five and a half percent after that

0:48:21.880 --> 0:48:25.960
<v Speaker 4>first level. So one SSRI trial and then they estimated

0:48:26.000 --> 0:48:28.440
<v Speaker 4>only about a forty percent response rate by the end

0:48:28.560 --> 0:48:35.239
<v Speaker 4>rather than seventy percent. Interesting hm, but either way, it

0:48:35.320 --> 0:48:38.040
<v Speaker 4>is a much more realistic, real world trial that tells

0:48:38.120 --> 0:48:41.120
<v Speaker 4>us a few things. One, it tells us that not

0:48:41.360 --> 0:48:45.440
<v Speaker 4>everyone is going to respond to the first SSRI that

0:48:45.440 --> 0:48:50.040
<v Speaker 4>they try. Yeah, period, we know this very true. It

0:48:50.080 --> 0:48:53.399
<v Speaker 4>tells us that they are still effective for a substantial

0:48:53.560 --> 0:48:56.040
<v Speaker 4>portion of people. Like some might say, twenty five is

0:48:56.080 --> 0:48:58.240
<v Speaker 4>not that much, but if you are in that twenty

0:48:58.239 --> 0:49:02.359
<v Speaker 4>five percent and your depression is is remitted because of this,

0:49:02.480 --> 0:49:04.759
<v Speaker 4>and usually on a much faster time frame than what

0:49:04.760 --> 0:49:09.080
<v Speaker 4>we would expect if someone has no treatment whatsoever. Yeah, right,

0:49:09.719 --> 0:49:14.640
<v Speaker 4>that is meaningful, right totally. What were you gonna ask, Karin?

0:49:16.680 --> 0:49:19.960
<v Speaker 3>Okay, first question that came to mind is, and I

0:49:20.000 --> 0:49:21.759
<v Speaker 3>know you said you weren't going to talk about the

0:49:21.800 --> 0:49:27.520
<v Speaker 3>differences in SSRIs, but broadly speaking, what are some differences

0:49:27.600 --> 0:49:29.360
<v Speaker 3>between these different SSRs?

0:49:29.480 --> 0:49:34.120
<v Speaker 4>Great question. So, there there's a bunch of different SSRIs

0:49:34.120 --> 0:49:35.640
<v Speaker 4>that are licensed in the US, and there are some

0:49:35.719 --> 0:49:38.239
<v Speaker 4>that are licensed in the US that are or some

0:49:38.360 --> 0:49:40.399
<v Speaker 4>in Europe in the UK that aren't used in the US.

0:49:40.640 --> 0:49:45.200
<v Speaker 4>And then There's also s NRIs, which are serotonin selective

0:49:45.200 --> 0:49:49.120
<v Speaker 4>serotonin reuptake and nor epinephrine reuptake inhibitors, so they do

0:49:49.239 --> 0:49:54.400
<v Speaker 4>both the differences between them, some of them are going

0:49:54.440 --> 0:49:56.719
<v Speaker 4>to be more sedating and some of them are going

0:49:56.800 --> 0:49:58.680
<v Speaker 4>to be less sedating. Some of them make you sleepy,

0:49:58.680 --> 0:50:02.480
<v Speaker 4>some of them make you less sleepy. We know why, no, no, no,

0:50:02.440 --> 0:50:04.799
<v Speaker 4>we don't know why for any of these. Some of

0:50:04.840 --> 0:50:08.000
<v Speaker 4>them are gonna some of them can cause weight gain,

0:50:08.120 --> 0:50:09.879
<v Speaker 4>and some of them have much less seem to cause

0:50:09.960 --> 0:50:15.719
<v Speaker 4>much less weight gain. Some of them, like cetalapram, for example,

0:50:16.160 --> 0:50:20.480
<v Speaker 4>at higher doses and especially in elderly populations, we have

0:50:20.520 --> 0:50:22.840
<v Speaker 4>seen that it can cause some effects on your heart.

0:50:23.120 --> 0:50:25.399
<v Speaker 4>It can prolong your QT interval, which means it could

0:50:25.440 --> 0:50:27.840
<v Speaker 4>potentially put you at higher risk for a heart condition

0:50:27.920 --> 0:50:29.920
<v Speaker 4>in the future. We don't see that with all of

0:50:29.920 --> 0:50:33.799
<v Speaker 4>the ssries. And then in terms of so a lot

0:50:33.840 --> 0:50:36.000
<v Speaker 4>of it comes down to the side effects, So the

0:50:36.000 --> 0:50:39.040
<v Speaker 4>side effect profiles can be different for different, you know,

0:50:39.080 --> 0:50:40.000
<v Speaker 4>specific ones.

0:50:41.160 --> 0:50:41.879
<v Speaker 3>And then in.

0:50:41.880 --> 0:50:44.600
<v Speaker 4>Terms of efficacy, there was a big study that came

0:50:44.640 --> 0:50:47.640
<v Speaker 4>out that tried to compare, you know, between looking at

0:50:47.719 --> 0:50:50.200
<v Speaker 4>all of these different placebo trials and the head to

0:50:50.239 --> 0:50:52.600
<v Speaker 4>head trials that exist because there are some of those.

0:50:53.560 --> 0:50:55.720
<v Speaker 4>Are there any that kind of come out on top?

0:50:56.040 --> 0:50:58.319
<v Speaker 4>And the answer is like, maybe there are a few,

0:50:58.400 --> 0:51:03.960
<v Speaker 4>Like scetalopram, which is lexipro brand name. Often it comes

0:51:03.960 --> 0:51:09.160
<v Speaker 4>out higher. Sirtraline tends to be like well tolerated compared

0:51:09.200 --> 0:51:11.560
<v Speaker 4>to its effect size, if that makes sense, because they

0:51:11.600 --> 0:51:15.719
<v Speaker 4>were comparing like side effects versus efficacy. Yes, yeah, but

0:51:15.760 --> 0:51:17.560
<v Speaker 4>there is not like a oh my gosh, this is

0:51:17.600 --> 0:51:19.600
<v Speaker 4>the clear winner or anything like that.

0:51:20.040 --> 0:51:23.680
<v Speaker 3>Well, and it's so it's so individual, like so person

0:51:23.719 --> 0:51:26.560
<v Speaker 3>to do we know anything about the individual variation and

0:51:26.680 --> 0:51:29.000
<v Speaker 3>receptivity to SSRIZ or efficacy?

0:51:29.560 --> 0:51:30.920
<v Speaker 4>And like I remember there.

0:51:30.800 --> 0:51:33.080
<v Speaker 3>Was is there something about genetic testing?

0:51:33.280 --> 0:51:35.480
<v Speaker 4>Yeah, I didn't get deep. I didn't get into that,

0:51:35.520 --> 0:51:37.360
<v Speaker 4>but there is a lot of interest in that, Like

0:51:37.440 --> 0:51:40.719
<v Speaker 4>can we do any sort of genetic analysis to try

0:51:40.719 --> 0:51:44.320
<v Speaker 4>and identify who might be more likely to respond to which,

0:51:44.640 --> 0:51:47.000
<v Speaker 4>because one thing that we see is that like there

0:51:47.040 --> 0:51:51.200
<v Speaker 4>is familial clustering sometimes like if you're like, oh, my

0:51:51.360 --> 0:51:55.279
<v Speaker 4>sister was on seartraline and she did really well on it,

0:51:55.600 --> 0:51:57.960
<v Speaker 4>then you might be more likely to also do well

0:51:58.000 --> 0:52:00.880
<v Speaker 4>on searchralein. But is that again part because of an

0:52:00.920 --> 0:52:04.280
<v Speaker 4>expectation and because of a familiarity, or is it because

0:52:04.320 --> 0:52:06.759
<v Speaker 4>of some genetic predisposition things like that.

0:52:07.800 --> 0:52:12.080
<v Speaker 3>So there are it, and you read the wrong testimonial like, yeah,

0:52:12.280 --> 0:52:14.640
<v Speaker 3>lexipro ruined my life, and then someone else is like

0:52:14.680 --> 0:52:16.319
<v Speaker 3>that was the best thing that's ever happened to be.

0:52:16.400 --> 0:52:19.000
<v Speaker 4>And both are true, but they're true, are true.

0:52:19.080 --> 0:52:20.040
<v Speaker 3>Absolutely, Yeah.

0:52:20.080 --> 0:52:24.200
<v Speaker 4>There are certainly side effects to SSRIs on the whole,

0:52:24.239 --> 0:52:27.400
<v Speaker 4>their safety profiles are really quite good, especially compared to

0:52:27.440 --> 0:52:31.840
<v Speaker 4>our older antidepressants like the TCAs and the MAOIs. But

0:52:32.440 --> 0:52:36.560
<v Speaker 4>the two biggest side effects of SSRIs are gi side effects,

0:52:36.560 --> 0:52:39.839
<v Speaker 4>so nausea, vomiting diarrhea, probably because of all the serotonin

0:52:39.840 --> 0:52:42.680
<v Speaker 4>in your guts your gut, yeah, and that tends to

0:52:42.680 --> 0:52:47.520
<v Speaker 4>be transient. Usually improves. Sexual dysfunction, though can be a

0:52:47.719 --> 0:52:52.200
<v Speaker 4>huge downside to SSRIs, and this can affect any part

0:52:52.280 --> 0:52:55.719
<v Speaker 4>of like your sexual cycle, from like desire or libido

0:52:56.200 --> 0:53:00.240
<v Speaker 4>to ability to achieve an erection or to achieve orgasm,

0:53:00.360 --> 0:53:04.520
<v Speaker 4>which can be pretty debilitating, especially because depression and anxiety

0:53:04.560 --> 0:53:09.759
<v Speaker 4>can also affect sexual sexual functioning. It does not, though,

0:53:09.800 --> 0:53:13.480
<v Speaker 4>happen to everyone who is on an SSRI, and we

0:53:13.680 --> 0:53:15.880
<v Speaker 4>can't predict who it's going to happen to and who

0:53:15.960 --> 0:53:18.759
<v Speaker 4>it won't. It usually does not get better though while

0:53:18.760 --> 0:53:21.680
<v Speaker 4>you're on it, in contrast to the GI side effects.

0:53:22.120 --> 0:53:22.880
<v Speaker 3>Oh interesting.

0:53:23.080 --> 0:53:27.520
<v Speaker 4>Yeah, and there are some reports of sexual dysfunction persisting

0:53:27.560 --> 0:53:30.719
<v Speaker 4>after discontinuation, But as of right now, it's not like

0:53:30.840 --> 0:53:33.520
<v Speaker 4>a well studied or well recognized phenomenon like in the

0:53:33.560 --> 0:53:35.600
<v Speaker 4>medical literature. But I know there's a lot of interest

0:53:35.640 --> 0:53:40.920
<v Speaker 4>in studying it more deeply in people who are depressed

0:53:40.960 --> 0:53:44.440
<v Speaker 4>like in a depressive episode, but perhaps actually have undiagnosed

0:53:44.480 --> 0:53:49.360
<v Speaker 4>bipolar disorder. SSRIs can potentially precipitate a manic episode, and

0:53:49.440 --> 0:53:53.879
<v Speaker 4>so they're not usually used in bipolar depression and there

0:53:53.880 --> 0:53:55.920
<v Speaker 4>are caveats to every role when it comes to that.

0:53:56.920 --> 0:54:00.640
<v Speaker 4>But probably the most headline generating warning or side effect

0:54:00.680 --> 0:54:04.440
<v Speaker 4>as it relates to SSRIs is its relationship with suicide

0:54:04.440 --> 0:54:10.400
<v Speaker 4>and suicidal ideation. Yeah, an increase in suicidal ideation is

0:54:10.480 --> 0:54:13.600
<v Speaker 4>often it's a black box warning now on all SSRIs.

0:54:14.520 --> 0:54:19.000
<v Speaker 4>The data suggests that this might this association might exist

0:54:19.080 --> 0:54:23.480
<v Speaker 4>like exposure to SSRIs and an increase in suicidal thoughts

0:54:23.840 --> 0:54:31.160
<v Speaker 4>or attempts at suicide might exist for pediatric and adolescent populations, right, Yeah,

0:54:31.719 --> 0:54:36.640
<v Speaker 4>the evidence in adult populations looks like there is actually

0:54:36.719 --> 0:54:40.480
<v Speaker 4>a decreased risk of suicide, especially in the older populations,

0:54:40.480 --> 0:54:43.840
<v Speaker 4>like in our older adult populations over sixty five, but

0:54:44.000 --> 0:54:47.640
<v Speaker 4>in adults over age twenty five, twenty five is the cutoff.

0:54:49.280 --> 0:54:52.040
<v Speaker 4>There is not an increased risk of suicide that we

0:54:52.080 --> 0:54:56.040
<v Speaker 4>see with SSRIs. There may be in those under twenty five,

0:54:57.480 --> 0:55:01.000
<v Speaker 4>and that still doesn't mean that we don't ever prescribe

0:55:01.040 --> 0:55:04.760
<v Speaker 4>them because in some cases they still can really help

0:55:05.440 --> 0:55:08.440
<v Speaker 4>with all of the other symptoms of anxiety and depression.

0:55:09.200 --> 0:55:11.839
<v Speaker 4>So yeah, but it is like it's an important that

0:55:11.880 --> 0:55:13.400
<v Speaker 4>is why it's a black box warning, and it's an

0:55:13.400 --> 0:55:16.680
<v Speaker 4>important thing that people are really looking into. There are

0:55:16.719 --> 0:55:20.800
<v Speaker 4>a lot of other potential harms that have been scrutinized

0:55:21.520 --> 0:55:24.320
<v Speaker 4>very deeply in their literature in these like large scale

0:55:24.360 --> 0:55:27.560
<v Speaker 4>observational studies to try and figure out long term are

0:55:27.600 --> 0:55:30.279
<v Speaker 4>there other detrimental effects to SSRIs, And all of the

0:55:30.320 --> 0:55:34.200
<v Speaker 4>rest of them don't hold up to scrutiny, They don't

0:55:34.200 --> 0:55:37.759
<v Speaker 4>hold up to the statistical analyzes. There's like, is there

0:55:37.840 --> 0:55:41.200
<v Speaker 4>effects on autism rates or ADHD rates? In people who

0:55:41.239 --> 0:55:44.719
<v Speaker 4>are pregnant who are on SSRIs. So far, those don't

0:55:44.719 --> 0:55:48.520
<v Speaker 4>hold up to the statistical analyses. It doesn't mean there's

0:55:48.560 --> 0:55:51.480
<v Speaker 4>not some suggestion, but there's there's not like a clear

0:55:51.560 --> 0:55:52.760
<v Speaker 4>consensus at this point.

0:55:53.320 --> 0:55:56.560
<v Speaker 3>What about dementia was another one that I saw, I

0:55:56.600 --> 0:55:58.600
<v Speaker 3>came across and nothing that holds up again too, you

0:55:58.640 --> 0:55:59.480
<v Speaker 3>didn't get yet.

0:55:59.400 --> 0:56:01.799
<v Speaker 4>Yeah, at least all the meta analyzes that I read.

0:56:02.120 --> 0:56:07.000
<v Speaker 3>Right, What about serotonin syndrome are you gonna great question?

0:56:07.360 --> 0:56:12.279
<v Speaker 4>So, serotonin syndrome is an important potential effect of overdosing

0:56:12.360 --> 0:56:16.600
<v Speaker 4>essentially on SSRIs, and importantly because self harm and suicide,

0:56:16.760 --> 0:56:20.800
<v Speaker 4>which overdoses one mechanism that people might try to attempt

0:56:20.840 --> 0:56:26.000
<v Speaker 4>a suicide. SSRIs are actually much safer in overdose compared

0:56:26.040 --> 0:56:30.880
<v Speaker 4>to TCAs or MAOIs or like benzodiazepines that we use

0:56:30.880 --> 0:56:33.319
<v Speaker 4>for anxiety for example. We don't use them very often,

0:56:33.360 --> 0:56:37.520
<v Speaker 4>but we do sometimes. But serotonin syndrome can absolutely be

0:56:37.560 --> 0:56:39.279
<v Speaker 4>a thing. And that is something where you basically just

0:56:39.320 --> 0:56:43.239
<v Speaker 4>have way too much serotonin. And then there's a mnemonic

0:56:43.239 --> 0:56:44.640
<v Speaker 4>that I'm sure I learned in med school, but I

0:56:44.640 --> 0:56:46.160
<v Speaker 4>didn't write it down, so I can't tell you the

0:56:46.200 --> 0:56:48.520
<v Speaker 4>exact symptoms of it, but it's like it can be

0:56:48.600 --> 0:56:53.840
<v Speaker 4>quite dangerous. It's an emergency room situation. It is still

0:56:53.960 --> 0:56:58.839
<v Speaker 4>safer again than overdoses of other older antidepressants, and it

0:56:58.880 --> 0:57:02.359
<v Speaker 4>is a treatable condition. But one concern is not necessarily

0:57:02.400 --> 0:57:07.960
<v Speaker 4>like overdose. But when a person is on multiple serotonergic medications.

0:57:08.200 --> 0:57:10.960
<v Speaker 3>Because what else would they be a lot.

0:57:10.719 --> 0:57:15.080
<v Speaker 4>Of our medicines actually have some serotonin effects. Zofran so

0:57:15.200 --> 0:57:17.560
<v Speaker 4>adansitron or I think that's how you pronounce it, which

0:57:17.560 --> 0:57:20.320
<v Speaker 4>is a medicine we use for nausea, trazodone, which is

0:57:20.360 --> 0:57:22.680
<v Speaker 4>like an antidepressant that no one uses for depression, but

0:57:22.680 --> 0:57:26.880
<v Speaker 4>we use it for insomnia. There are so many gabapentin,

0:57:27.240 --> 0:57:30.160
<v Speaker 4>so many medications that we use for a whole bunch

0:57:30.160 --> 0:57:32.920
<v Speaker 4>of different things. Tricyclics we use a lot actually for

0:57:33.120 --> 0:57:38.680
<v Speaker 4>migraine and sometimes for neuropathic pain or for ibs. And

0:57:38.760 --> 0:57:42.600
<v Speaker 4>so if you're taking multiple different medications, which we very

0:57:42.640 --> 0:57:45.760
<v Speaker 4>often see in our elderly populations, you do have to

0:57:45.760 --> 0:57:48.320
<v Speaker 4>think about how many of these might have effects at

0:57:48.360 --> 0:57:52.480
<v Speaker 4>some point on serotonin or on serotonin receptors. Because some

0:57:52.520 --> 0:57:55.600
<v Speaker 4>of them, like zofrin, acts on serotonin receptors.

0:57:55.400 --> 0:57:57.360
<v Speaker 3>Right right, Okay, Okay, so.

0:57:57.400 --> 0:57:58.920
<v Speaker 4>Yeah, it is something that we have to kind of

0:57:59.000 --> 0:58:02.120
<v Speaker 4>keep in mind, but on they are really pretty safe

0:58:02.200 --> 0:58:08.240
<v Speaker 4>medications on the whole, especially compared to what we had previously. Yeah,

0:58:08.480 --> 0:58:10.560
<v Speaker 4>for me, though, do you have any other questions aarin

0:58:10.600 --> 0:58:13.440
<v Speaker 4>about like the nitty gritty, because that's my end of

0:58:13.520 --> 0:58:15.200
<v Speaker 4>nitty gritty, and I want to tell you what I

0:58:15.240 --> 0:58:15.760
<v Speaker 4>feel like.

0:58:16.320 --> 0:58:19.080
<v Speaker 3>I mean, let me think about the nitty gritty. I

0:58:19.120 --> 0:58:21.520
<v Speaker 3>think the thing that like in reading all these papers

0:58:21.560 --> 0:58:25.560
<v Speaker 3>and reading the research is that because the effects of

0:58:25.680 --> 0:58:28.960
<v Speaker 3>SSRIs are so broad, because the way that we measure

0:58:29.000 --> 0:58:34.480
<v Speaker 3>those effects are so broad and so imperfect, imperfect, and

0:58:34.520 --> 0:58:40.120
<v Speaker 3>so varied, and because the number of conditions that SSRIs

0:58:40.120 --> 0:58:46.400
<v Speaker 3>are used for can also be very varied, people can

0:58:46.680 --> 0:58:51.280
<v Speaker 3>draw whatever conclusions they want almost out of this. And

0:58:52.560 --> 0:58:55.760
<v Speaker 3>that is I think what makes there's so much noise

0:58:55.920 --> 0:58:58.960
<v Speaker 3>around SSRIs. There's so much noise, and I think what

0:58:59.080 --> 0:59:02.480
<v Speaker 3>gets lost in that noise is the signal that for

0:59:02.600 --> 0:59:06.960
<v Speaker 3>many people, SSRIs are very effective. For many people, maybe

0:59:06.960 --> 0:59:10.440
<v Speaker 3>they want to weigh the pros and cons of SSRIs,

0:59:10.880 --> 0:59:15.480
<v Speaker 3>but it's like there are these sweeping statements yes that

0:59:16.320 --> 0:59:19.200
<v Speaker 3>research groups I think there are one in particular I'm

0:59:19.240 --> 0:59:25.080
<v Speaker 3>thinking of wants to make and that are harmful. Yeah,

0:59:25.280 --> 0:59:28.439
<v Speaker 3>SSRIs are not more effective than placebo, which is not.

0:59:28.360 --> 0:59:31.800
<v Speaker 4>True, not true, not true, Yeah, the end of the day,

0:59:31.880 --> 0:59:32.240
<v Speaker 4>not true.

0:59:32.320 --> 0:59:34.439
<v Speaker 3>I mean it can be true if you cherry pick

0:59:34.480 --> 0:59:37.040
<v Speaker 3>your studies and you, you know, throw out the ones

0:59:37.080 --> 0:59:40.320
<v Speaker 3>that don't suit your end agenda.

0:59:40.600 --> 0:59:44.480
<v Speaker 4>But I also think for me, there's a few different

0:59:44.480 --> 0:59:46.240
<v Speaker 4>things I feel like are really left out a lot

0:59:46.480 --> 0:59:49.120
<v Speaker 4>of a lot of these conversations that are happening about SSRIs,

0:59:49.480 --> 0:59:52.040
<v Speaker 4>and really like it's left out of the conversations that

0:59:52.080 --> 0:59:55.520
<v Speaker 4>we're having about how we treat major depressive disorder, how

0:59:55.560 --> 0:59:59.240
<v Speaker 4>we treat generalized anxiety disorder, any of these affective or

0:59:59.440 --> 1:00:02.680
<v Speaker 4>mental health disorders, a lot of which we treat with

1:00:02.800 --> 1:00:08.760
<v Speaker 4>SSRIs or other medicines. Right, we do not understand the

1:00:08.760 --> 1:00:12.680
<v Speaker 4>biology of these conditions. We do not know what these

1:00:12.720 --> 1:00:16.080
<v Speaker 4>mechanisms are. We do not have biomarkers or tests that

1:00:16.120 --> 1:00:18.880
<v Speaker 4>we can run to diagnose these conditions. We don't even

1:00:18.960 --> 1:00:23.880
<v Speaker 4>have a measurement that is not subjective, right, because these

1:00:23.920 --> 1:00:27.720
<v Speaker 4>are disorders that we diagnose based on timeframes, based on

1:00:27.840 --> 1:00:31.880
<v Speaker 4>questionnaires of symptoms, and based on their effect on our

1:00:32.000 --> 1:00:35.920
<v Speaker 4>daily lives and our ability to function. So of course

1:00:36.400 --> 1:00:39.680
<v Speaker 4>we cannot expect to fully understand how a drug is

1:00:39.720 --> 1:00:43.600
<v Speaker 4>working if we don't understand the disease that we're treating. Yeah,

1:00:43.800 --> 1:00:48.320
<v Speaker 4>and at the exact same time, we cannot ignore, refuse

1:00:48.480 --> 1:00:53.040
<v Speaker 4>to treat, or withhold effective treatment from millions of people

1:00:53.120 --> 1:00:56.200
<v Speaker 4>just because we don't understand the mechanism. So I really

1:00:56.280 --> 1:01:01.120
<v Speaker 4>want to provide everyone a compare contrast. And some people

1:01:01.200 --> 1:01:03.200
<v Speaker 4>might get mad and say that's apples and oranges, to

1:01:03.240 --> 1:01:07.200
<v Speaker 4>which I say, those are both fruit, Okay, so allow

1:01:07.280 --> 1:01:08.320
<v Speaker 4>me to tell it.

1:01:08.440 --> 1:01:10.280
<v Speaker 3>Orange is a vegetable, and I'm just kidding.

1:01:10.800 --> 1:01:15.480
<v Speaker 4>Scared me for a second. Eighty five to ninety five

1:01:15.520 --> 1:01:19.400
<v Speaker 4>percent of cases of hypertension or high blood pressure are

1:01:19.440 --> 1:01:23.040
<v Speaker 4>what is called essential hypertension, which is our fancy way

1:01:23.080 --> 1:01:25.600
<v Speaker 4>in medicine of saying we have no idea what causes it.

1:01:26.360 --> 1:01:29.680
<v Speaker 4>And yet we have dozens of different drugs that work

1:01:29.720 --> 1:01:33.480
<v Speaker 4>on very disparate mechanisms, from diuretics to calcium channel blockers

1:01:33.520 --> 1:01:37.160
<v Speaker 4>to angiotens interceptor blockers, none of which not a single

1:01:37.200 --> 1:01:40.880
<v Speaker 4>one is targeting the primary cause of hypertension. Because we

1:01:40.960 --> 1:01:44.440
<v Speaker 4>do not know what the cause of hypertension is and

1:01:44.480 --> 1:01:47.840
<v Speaker 4>it goes further erin not everyone who receives the same

1:01:47.920 --> 1:01:51.360
<v Speaker 4>benefit from one anti hypertensive is going to receive it

1:01:51.720 --> 1:01:55.440
<v Speaker 4>the same way. In fact, only twenty five to thirty

1:01:55.480 --> 1:01:58.240
<v Speaker 4>percent of people with hypertension are going to have their

1:01:58.240 --> 1:02:01.840
<v Speaker 4>blood pressure controlled with a single agent. Most people are

1:02:01.880 --> 1:02:04.960
<v Speaker 4>going to require at least two, if not three. The

1:02:05.000 --> 1:02:08.160
<v Speaker 4>same can be said for antidepressants. No, we don't understand

1:02:08.200 --> 1:02:10.760
<v Speaker 4>how they work, because we don't understand depression, but we

1:02:10.880 --> 1:02:14.000
<v Speaker 4>do know that a substantial proportion of people who try

1:02:14.080 --> 1:02:17.840
<v Speaker 4>one will derive benefit from it, and those that don't

1:02:18.360 --> 1:02:20.720
<v Speaker 4>might benefit from a different version of one or a

1:02:20.760 --> 1:02:24.600
<v Speaker 4>different type of antidepressant. And this is not just because

1:02:24.600 --> 1:02:26.000
<v Speaker 4>of a placebo effect.

1:02:26.440 --> 1:02:30.080
<v Speaker 3>Yes, it's I mean, I feel like I've saw it

1:02:30.160 --> 1:02:34.360
<v Speaker 3>described somewhere which I really like. And using the hypertension analogy,

1:02:35.280 --> 1:02:41.000
<v Speaker 3>is that hypertension is not caused by a lack of

1:02:41.440 --> 1:02:47.480
<v Speaker 3>anti hypertensive right, depression is not caused by a lack

1:02:47.520 --> 1:02:55.280
<v Speaker 3>of serotonin. But we have drugs anti hypertensive antidepressants SSRIs

1:02:55.960 --> 1:03:00.800
<v Speaker 3>that have an impact for some people and so that

1:03:01.040 --> 1:03:04.480
<v Speaker 3>it's not like a one to one. Here's the problem

1:03:04.520 --> 1:03:06.960
<v Speaker 3>here's the solution, but it is here is a problem,

1:03:07.040 --> 1:03:10.600
<v Speaker 3>and here's an imperfect solution. That's some that can work

1:03:10.640 --> 1:03:11.240
<v Speaker 3>for some people.

1:03:11.560 --> 1:03:15.280
<v Speaker 4>One hundred percent, Aaron, one hundred percent. And I will

1:03:15.320 --> 1:03:17.360
<v Speaker 4>also say too that like there is a lot of

1:03:17.360 --> 1:03:20.400
<v Speaker 4>discussion of like, oh, mild versus moderate versus severe depression,

1:03:20.440 --> 1:03:24.920
<v Speaker 4>and like most of the guidelines from the European societies,

1:03:24.920 --> 1:03:29.880
<v Speaker 4>from the American societies actually recommend psychotherapies like cognitive behavioral

1:03:29.920 --> 1:03:35.160
<v Speaker 4>therapies for mild to moderate depression over SSRIs. But realistically,

1:03:35.360 --> 1:03:37.800
<v Speaker 4>a lot of people either do not want that, or

1:03:37.840 --> 1:03:40.760
<v Speaker 4>are not ready for that, or cannot do it because

1:03:40.760 --> 1:03:42.720
<v Speaker 4>their insurance won't cover it because they always going to

1:03:42.760 --> 1:03:44.919
<v Speaker 4>provide her because they don't have a time right.

1:03:45.080 --> 1:03:47.160
<v Speaker 3>So it's sort of like, oh, you need in order

1:03:47.200 --> 1:03:51.480
<v Speaker 3>to be prescribed ASSROS, you need to undergo six months

1:03:50.120 --> 1:03:55.080
<v Speaker 3>of therapy first. Yeah, how are you going to take

1:03:55.120 --> 1:03:55.560
<v Speaker 3>time to do?

1:03:55.600 --> 1:03:55.640
<v Speaker 2>That?

1:03:55.800 --> 1:03:58.640
<v Speaker 3>Happens for some people, maybe that's realistic. For other people,

1:03:58.680 --> 1:04:01.480
<v Speaker 3>it absolutely is not possible, exactly.

1:04:02.040 --> 1:04:03.919
<v Speaker 4>And I think a lot of this, like a lot

1:04:03.960 --> 1:04:06.240
<v Speaker 4>of this discussion comes down to the stigma that we

1:04:06.320 --> 1:04:09.280
<v Speaker 4>have when it comes to mental health disorders. I think

1:04:09.320 --> 1:04:11.960
<v Speaker 4>another part of the problem, which is in part due

1:04:12.000 --> 1:04:14.640
<v Speaker 4>to the stigma, is that when it comes to something

1:04:14.680 --> 1:04:18.760
<v Speaker 4>like hypertension, we have really great data on if we

1:04:18.840 --> 1:04:22.040
<v Speaker 4>control blood pressure by whatever means, we can prevent death

1:04:22.160 --> 1:04:25.200
<v Speaker 4>from cardiovascular disease long term. That's a pretty big deal.

1:04:25.280 --> 1:04:28.440
<v Speaker 4>That's probably worth it. Right. We don't have as good

1:04:28.480 --> 1:04:30.880
<v Speaker 4>of data on the long term effects of treatment versus

1:04:30.880 --> 1:04:32.720
<v Speaker 4>non treatment and things like that when it comes to

1:04:32.720 --> 1:04:35.800
<v Speaker 4>depression and anxiety because who's going to fund those studies?

1:04:35.920 --> 1:04:38.400
<v Speaker 4>Who's going to put up the money for that? Right?

1:04:39.120 --> 1:04:42.120
<v Speaker 4>So that I think is another part of this problem

1:04:42.160 --> 1:04:43.720
<v Speaker 4>is that there is a lot more data that needs

1:04:43.720 --> 1:04:45.800
<v Speaker 4>to be gathered and a lot more understating that we

1:04:45.880 --> 1:04:50.000
<v Speaker 4>need of these medicines and alternatives because treatment resistant depression

1:04:50.040 --> 1:04:52.600
<v Speaker 4>is very real and affects a huge proportion of people.

1:04:54.000 --> 1:04:58.360
<v Speaker 4>So yeah, there's still a lot but SSRIs are safe

1:04:59.000 --> 1:05:00.480
<v Speaker 4>and they're effective for a life people.

1:05:02.440 --> 1:05:06.080
<v Speaker 3>I mean, it's like we we just come to the

1:05:06.120 --> 1:05:12.280
<v Speaker 3>same conclusion in every episode. More research is needed, a

1:05:12.360 --> 1:05:18.600
<v Speaker 3>more nuanced view is crucial, and transparency.

1:05:19.360 --> 1:05:20.520
<v Speaker 4>Wouldn't that be great? Aaron?

1:05:21.040 --> 1:05:29.040
<v Speaker 3>Yeah, I think it's it's been very interesting to like explore,

1:05:30.920 --> 1:05:31.960
<v Speaker 3>to get like so.

1:05:33.040 --> 1:05:35.680
<v Speaker 4>Over my head deep in this literature and still feel

1:05:35.720 --> 1:05:37.960
<v Speaker 4>like I don't have a great handle on it.

1:05:38.040 --> 1:05:42.280
<v Speaker 3>Honestly, I think that in itself is the lesson. Yeah.

1:05:42.480 --> 1:05:45.360
<v Speaker 3>It's like, who has a really who can raise their

1:05:45.360 --> 1:05:49.680
<v Speaker 3>hand and say, I know how they work for each person,

1:05:50.240 --> 1:05:53.360
<v Speaker 3>whether that person has derived benefit or has it you know,

1:05:54.560 --> 1:05:57.680
<v Speaker 3>described that they have had benefits or is treatment resistant

1:05:57.760 --> 1:05:58.600
<v Speaker 3>right now, it's like.

1:05:58.760 --> 1:06:02.600
<v Speaker 4>Or has had only side of right or yes, benefit

1:06:02.680 --> 1:06:04.720
<v Speaker 4>but also side effects that we're bad enough that it's

1:06:04.760 --> 1:06:07.600
<v Speaker 4>not worth it, right, yeah, and that we absolutely see

1:06:07.600 --> 1:06:10.600
<v Speaker 4>all the time yea, And I mean looking forward, like

1:06:10.880 --> 1:06:13.880
<v Speaker 4>I would not be surprised if there is a time

1:06:14.040 --> 1:06:18.160
<v Speaker 4>when SSRIs are almost entirely replaced, like the same way

1:06:18.320 --> 1:06:21.960
<v Speaker 4>that m aois or TCAs are not really used very commonly.

1:06:23.080 --> 1:06:27.080
<v Speaker 4>But that needs to come because we have found better,

1:06:27.280 --> 1:06:30.920
<v Speaker 4>more effective alternatives, because we've invested in mental health research

1:06:30.960 --> 1:06:34.720
<v Speaker 4>and in expanding access to services, in normalizing therapy, in

1:06:34.800 --> 1:06:37.720
<v Speaker 4>taking time off work to do these other things, and

1:06:37.760 --> 1:06:39.960
<v Speaker 4>because we come to a better understanding of the causes

1:06:39.960 --> 1:06:42.360
<v Speaker 4>of depression and we have safer, more effective medicines. Not

1:06:42.440 --> 1:06:45.800
<v Speaker 4>because we lie and say that SSRIs are addictive, They

1:06:45.800 --> 1:06:48.200
<v Speaker 4>are not there is no data for that that they're

1:06:48.440 --> 1:06:52.840
<v Speaker 4>dangerous like Heroin. They are not right like they. This

1:06:52.920 --> 1:06:55.520
<v Speaker 4>needs to happen for good reason, not just taking something

1:06:55.560 --> 1:06:57.520
<v Speaker 4>away that has been life saving for a lot of people,

1:06:57.600 --> 1:06:59.040
<v Speaker 4>even though it is imperfect.

1:06:59.400 --> 1:07:03.760
<v Speaker 3>Yeah, it's it's a real bizarre, it's a real it's

1:07:03.880 --> 1:07:07.160
<v Speaker 3>it's an ugly new manifestation of the stigma that has

1:07:07.280 --> 1:07:08.200
<v Speaker 3>long been with us.

1:07:08.080 --> 1:07:12.160
<v Speaker 4>When it comes to health one hundred. It's an ugly manifestation.

1:07:12.200 --> 1:07:15.200
<v Speaker 4>If that's that stigma, I really don't like it.

1:07:15.640 --> 1:07:16.280
<v Speaker 3>No.

1:07:16.280 --> 1:07:19.560
<v Speaker 4>No, So if you want to read more and get

1:07:20.040 --> 1:07:23.600
<v Speaker 4>as deep as I did, I cannot. This was such

1:07:23.640 --> 1:07:26.240
<v Speaker 4>a big episode for me aarin that I actually tried

1:07:26.280 --> 1:07:29.880
<v Speaker 4>to organize all my sources. Usually they're just like a

1:07:30.480 --> 1:07:33.520
<v Speaker 4>I throw them all into a spreadsheet. This was like,

1:07:33.720 --> 1:07:36.840
<v Speaker 4>I have a whole section for papers on the mechanism

1:07:36.920 --> 1:07:40.880
<v Speaker 4>of action. I've got a whole section for papers about

1:07:40.880 --> 1:07:44.240
<v Speaker 4>the guidelines, who's making these guidelines. I've got a huge

1:07:44.280 --> 1:07:48.280
<v Speaker 4>section on the efficacy and effectiveness studies. I've got a

1:07:48.320 --> 1:07:54.040
<v Speaker 4>separate section on looking at the placebo responses versus efficacy studies,

1:07:54.800 --> 1:07:58.800
<v Speaker 4>another section on papers specific to children and adolescents. Because

1:07:59.000 --> 1:08:01.280
<v Speaker 4>it is a very different kind when we're talking about

1:08:01.280 --> 1:08:03.800
<v Speaker 4>these medicines and children and adolescents and we have less data,

1:08:03.880 --> 1:08:06.280
<v Speaker 4>and like I said, there's more potential for risk, and

1:08:06.320 --> 1:08:08.400
<v Speaker 4>that doesn't mean they're not used. I have a few

1:08:08.400 --> 1:08:11.560
<v Speaker 4>papers on long term data, not great, but I have some.

1:08:11.840 --> 1:08:14.680
<v Speaker 4>I have more than I realized actually, And then other

1:08:14.720 --> 1:08:17.720
<v Speaker 4>papers on untreated depression. I'm just scrolling through all of

1:08:17.720 --> 1:08:18.280
<v Speaker 4>these areas.

1:08:18.360 --> 1:08:20.040
<v Speaker 3>Love this. I mean, you have just made life so

1:08:20.120 --> 1:08:22.000
<v Speaker 3>much easier for someone writing a term paper.

1:08:22.800 --> 1:08:25.719
<v Speaker 4>Seriously, could someone like take all these and write a paper.

1:08:26.439 --> 1:08:28.760
<v Speaker 4>I also have separate section. I should move this up

1:08:28.800 --> 1:08:31.480
<v Speaker 4>to the top about what we know of depression and anxiety,

1:08:31.600 --> 1:08:34.559
<v Speaker 4>like what we think about their neurobiology. Yeah, some papers

1:08:34.560 --> 1:08:37.720
<v Speaker 4>on the epidemiology, and then a few that I call mythbusting.

1:08:38.000 --> 1:08:41.920
<v Speaker 4>And then those you mentioned Aaron the like very controversial

1:08:41.960 --> 1:08:45.320
<v Speaker 4>straw Man argument about serotonin and whether or not it's involved.

1:08:45.360 --> 1:08:48.360
<v Speaker 4>I included that paper and all of the responses to it.

1:08:48.520 --> 1:08:50.440
<v Speaker 3>Oh my god, there are so many responses.

1:08:50.880 --> 1:08:53.240
<v Speaker 4>Yeah, you can read about it on our website. This

1:08:53.320 --> 1:08:55.759
<v Speaker 4>podcast will kill you dot com.

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<v Speaker 3>Thank you again so much to the providers of our

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<v Speaker 3>first hand accounts for these episodes and all of our episodes. Really,

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<v Speaker 3>it really means so much to hear these perspectives and

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<v Speaker 3>your experiences. So thank you, thank you.

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<v Speaker 4>Yeah, thank you so much. Thank you also to Bloodmobile,

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<v Speaker 4>who provides the music for this episode and all of

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<v Speaker 4>our episodes now on Instagram, now on Instagram.

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<v Speaker 3>Thank you to everyone at Exactly Right who helps us

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<v Speaker 3>make this podcast, Tom, Leanna, Brent, Pete, Jess, you know everyone.

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<v Speaker 3>There's so so many, so many people. So thank you,

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<v Speaker 3>thank you.

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<v Speaker 4>Thank you, and thank you to you listeners. Hopefully you

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<v Speaker 4>liked this two part deep dive. Yeah, did you tell

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<v Speaker 4>us genuinely? Also, how about that baseball on analogy?

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<v Speaker 3>Yeah? Sorry about that. Thank you. Also to our wonderful,

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<v Speaker 3>generous patrons. We appreciate your support. It means the world

1:09:52.600 --> 1:09:53.679
<v Speaker 3>to us, it really does.

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<v Speaker 2>Thank you.

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<v Speaker 4>Well.

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<v Speaker 3>Until next time, wash your hands, filthy animals.

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<v Speaker 5>Bomba bonba bumba bumbo bo