1 00:00:00,080 --> 00:00:03,920 Speaker 1: Segments do not cure any mental health condition. They put 2 00:00:03,960 --> 00:00:05,920 Speaker 1: a pause on it. They will numb you out to 3 00:00:05,960 --> 00:00:08,440 Speaker 1: it for a while, but there's no evidence that they 4 00:00:08,480 --> 00:00:11,240 Speaker 1: cure any psychedri or they get a condition. 5 00:00:22,400 --> 00:00:22,840 Speaker 2: Everyone. 6 00:00:23,239 --> 00:00:25,079 Speaker 3: Before we get into this week's podcast, we got a 7 00:00:25,120 --> 00:00:29,159 Speaker 3: pretty cool announcement to make you are not able to 8 00:00:29,560 --> 00:00:30,480 Speaker 3: connect with us. 9 00:00:30,760 --> 00:00:33,520 Speaker 4: We have a pretty cool little widget that's on the website. 10 00:00:33,640 --> 00:00:38,519 Speaker 4: Just go to poletailor dot biz forwards last podcast and 11 00:00:38,600 --> 00:00:41,080 Speaker 4: near the top of the page you'll see a little 12 00:00:41,320 --> 00:00:44,440 Speaker 4: icon that says send a message to the Pole Tailor podcast. 13 00:00:44,880 --> 00:00:46,879 Speaker 3: And so what we can do with that you just 14 00:00:46,920 --> 00:00:49,720 Speaker 3: click on that and then you send us an audio 15 00:00:49,800 --> 00:00:52,440 Speaker 3: message and we will get the audio message. 16 00:00:52,479 --> 00:00:53,800 Speaker 2: The first thing I want to do with. 17 00:00:53,840 --> 00:00:58,800 Speaker 3: Using it is actually do and ask me anything episode. 18 00:00:59,200 --> 00:01:01,000 Speaker 3: So all you to do if you've got a question 19 00:01:01,040 --> 00:01:03,560 Speaker 3: that we want me to cover is just go to 20 00:01:03,720 --> 00:01:08,400 Speaker 3: Paul Taylor dot b is z Forward Slash podcast and 21 00:01:08,600 --> 00:01:11,240 Speaker 3: on start the recording, and then send us a message 22 00:01:11,319 --> 00:01:13,920 Speaker 3: about what you would like me to talk about, and 23 00:01:14,040 --> 00:01:16,600 Speaker 3: they ask me anything and leave your name. We will 24 00:01:16,600 --> 00:01:18,840 Speaker 3: call it out on the show. I'll get that all 25 00:01:18,840 --> 00:01:21,039 Speaker 3: put together. And the other thing you can do is 26 00:01:21,080 --> 00:01:22,880 Speaker 3: just leave us a message about what you like about 27 00:01:22,920 --> 00:01:25,160 Speaker 3: the podcast, what you don't like about the podcast day 28 00:01:25,200 --> 00:01:27,240 Speaker 3: I talk too much all of that sort of stuff, 29 00:01:27,520 --> 00:01:29,840 Speaker 3: and just give us some feedback and we will use 30 00:01:29,880 --> 00:01:33,520 Speaker 3: that to continuously improve. So looking forward to hearing from 31 00:01:33,520 --> 00:01:35,200 Speaker 3: you now, I hover the. 32 00:01:35,120 --> 00:01:37,280 Speaker 2: Podcast, Doctor Julia Britts. 33 00:01:37,920 --> 00:01:39,000 Speaker 5: Welcome to the podcast. 34 00:01:39,400 --> 00:01:41,120 Speaker 1: Thank you so much having to be here. 35 00:01:42,160 --> 00:01:45,240 Speaker 2: Are you where about saying you and I are across 36 00:01:45,280 --> 00:01:46,520 Speaker 2: the big pond from me? 37 00:01:46,680 --> 00:01:51,160 Speaker 1: I am across the big pond. I'm actually in Las Vegas, Nevada, 38 00:01:51,320 --> 00:01:55,160 Speaker 1: or since city, or in my opinion, is actually a 39 00:01:55,280 --> 00:01:58,160 Speaker 1: very small city, so it could feel like a town sometimes. 40 00:01:58,240 --> 00:01:59,280 Speaker 1: But I love it. 41 00:01:59,520 --> 00:02:01,160 Speaker 5: Yeah, you live there, you know. 42 00:02:01,240 --> 00:02:02,920 Speaker 1: I've lived here on and off my whole life. So 43 00:02:03,040 --> 00:02:06,000 Speaker 1: I actually went to naturally Medical School in San Diego. 44 00:02:06,160 --> 00:02:08,640 Speaker 1: I went to best year, So I love it. I 45 00:02:08,680 --> 00:02:10,919 Speaker 1: love San Diego. It's my favorite place in the whole world. 46 00:02:11,280 --> 00:02:14,240 Speaker 1: But I'm very passionate about living in Las Vegas because 47 00:02:14,240 --> 00:02:16,440 Speaker 1: I spent so much time here, and when I was 48 00:02:16,480 --> 00:02:19,800 Speaker 1: living in Sidona, Arizona, which was a wild adventure, I 49 00:02:19,840 --> 00:02:23,119 Speaker 1: had so many people come to see me from Las Vegas. 50 00:02:23,160 --> 00:02:26,800 Speaker 1: Because natural pathic Medicine is not licensed in Nevada, So 51 00:02:27,200 --> 00:02:29,919 Speaker 1: it's crazy. It's so stupid because all the students around 52 00:02:29,960 --> 00:02:32,760 Speaker 1: Avada license it. So Nevada is losing out on a 53 00:02:32,800 --> 00:02:34,040 Speaker 1: lot of money. Really dumb. 54 00:02:34,200 --> 00:02:37,160 Speaker 5: Wow, that's it, so not licensed at all? 55 00:02:37,760 --> 00:02:38,120 Speaker 1: Correct? 56 00:02:38,400 --> 00:02:41,320 Speaker 5: Mm hmm, So this is not me. 57 00:02:41,480 --> 00:02:45,120 Speaker 2: You cannot practice, so you just can't get insurance for practicing, 58 00:02:45,160 --> 00:02:46,400 Speaker 2: and you can get in the shit. 59 00:02:47,200 --> 00:02:49,959 Speaker 1: Well, mostly you can practice here. There's about six of 60 00:02:50,040 --> 00:02:53,639 Speaker 1: us here, but we are limited under certain state laws 61 00:02:53,720 --> 00:02:57,720 Speaker 1: about complementary medicine, so kind of like what happens when 62 00:02:57,760 --> 00:03:02,240 Speaker 1: people practice acupuncture here or massage therapy. There's certain things 63 00:03:02,240 --> 00:03:04,200 Speaker 1: that we're allowed to do, and some things I don't 64 00:03:04,360 --> 00:03:07,200 Speaker 1: want us to do, like I can't physically touch a patient. 65 00:03:07,560 --> 00:03:11,200 Speaker 1: I can't inject anything or do IV so I have 66 00:03:11,280 --> 00:03:14,240 Speaker 1: to be a little cast. But honestly, most of all 67 00:03:14,240 --> 00:03:18,000 Speaker 1: my practices telemed so I'm not touching people anyway. My 68 00:03:18,040 --> 00:03:20,440 Speaker 1: practice isn't that different than if I were in a 69 00:03:20,800 --> 00:03:23,160 Speaker 1: more licensed state, So for me, it works out. 70 00:03:23,280 --> 00:03:24,520 Speaker 5: Okay, gotcha? 71 00:03:24,600 --> 00:03:27,160 Speaker 2: Okay, And so how long talk us to your study 72 00:03:27,240 --> 00:03:30,639 Speaker 2: and how long you studied in naturopathic medicine, because there's 73 00:03:30,639 --> 00:03:34,079 Speaker 2: different levels of natropathic medicine around the world, right, there 74 00:03:34,080 --> 00:03:37,760 Speaker 2: are people who can do a little crash course that's 75 00:03:37,880 --> 00:03:40,120 Speaker 2: like a twelve week course, and then there's people who 76 00:03:40,120 --> 00:03:42,760 Speaker 2: have degrees in PhDs and natropathic medicine. 77 00:03:42,800 --> 00:03:46,520 Speaker 1: Oh absolutely, And even in the US there are different 78 00:03:46,520 --> 00:03:49,680 Speaker 1: certification programs. You could pay like one hundred dollars and 79 00:03:49,720 --> 00:03:54,440 Speaker 1: you could call yourself like a certificate holder of naturalthic medicine. 80 00:03:54,480 --> 00:03:57,600 Speaker 1: And that's confusing for the average person looking for someone 81 00:03:58,200 --> 00:04:00,240 Speaker 1: you know who is quote unquote qualified. Which is to 82 00:04:00,240 --> 00:04:02,680 Speaker 1: say there aren't people that are not professionally educated that 83 00:04:02,680 --> 00:04:06,040 Speaker 1: are perfectly qualified, but it is to say that we 84 00:04:06,240 --> 00:04:09,040 Speaker 1: are making it way too confusing for people, and that's 85 00:04:09,400 --> 00:04:12,720 Speaker 1: new good. But for me, I went to Bastyr for 86 00:04:12,840 --> 00:04:16,560 Speaker 1: my mateuroprathic medical degree and that's a four year program. 87 00:04:16,880 --> 00:04:20,360 Speaker 1: And before that I did my My bachelor's was actually 88 00:04:20,480 --> 00:04:22,960 Speaker 1: in art technology, so I was doing you know, more 89 00:04:23,200 --> 00:04:27,000 Speaker 1: marketing kind of stuff and design. That was fun and 90 00:04:27,040 --> 00:04:29,560 Speaker 1: then but that didn't really do well to get me 91 00:04:29,600 --> 00:04:32,120 Speaker 1: into National probably medical school, so I actually had to 92 00:04:32,120 --> 00:04:34,920 Speaker 1: do my posts. Yeah they're like no, not quite even 93 00:04:34,960 --> 00:04:37,480 Speaker 1: that's me. Art is medicine and medicine is art but whatever. 94 00:04:38,040 --> 00:04:42,920 Speaker 1: So I actually did my post bachelor's study in organic chemistry, 95 00:04:43,080 --> 00:04:45,599 Speaker 1: and so I spent three years doing that and then 96 00:04:45,880 --> 00:04:48,680 Speaker 1: all the prelimerinary work. So for me, it was it 97 00:04:48,720 --> 00:04:51,720 Speaker 1: did four years from my bachelor's, three years of post back, 98 00:04:51,760 --> 00:04:54,960 Speaker 1: and then four years of medicine and I really don't 99 00:04:55,000 --> 00:04:56,320 Speaker 1: want to go back to school anymore. 100 00:04:56,360 --> 00:05:00,920 Speaker 2: I had not, Yeah, Chase, what's not tanged years all up? 101 00:05:01,200 --> 00:05:01,360 Speaker 5: Wow? 102 00:05:01,480 --> 00:05:02,520 Speaker 1: Oh no, it's a lot. 103 00:05:03,120 --> 00:05:05,080 Speaker 5: It's a lot, Okay. 104 00:05:05,240 --> 00:05:09,640 Speaker 2: So you you are particularly focused on mental health. I mean, 105 00:05:09,680 --> 00:05:12,200 Speaker 2: I'm sure you do lots of different things in mental health. 106 00:05:12,480 --> 00:05:16,200 Speaker 2: Why did you start to specialize in mental health? And 107 00:05:16,240 --> 00:05:18,760 Speaker 2: we can talk about the different areas that you specialize in, 108 00:05:18,800 --> 00:05:22,120 Speaker 2: but what was the driver initially? You know for me? 109 00:05:22,480 --> 00:05:24,520 Speaker 1: And I think this is common for a lot of people, 110 00:05:24,640 --> 00:05:27,840 Speaker 1: but I wanted everyone else to see what it could do, 111 00:05:28,320 --> 00:05:30,479 Speaker 1: you know, And that's it's we see that all the time. 112 00:05:30,520 --> 00:05:32,560 Speaker 1: Like a lot of people, when the Western medical system 113 00:05:32,800 --> 00:05:36,000 Speaker 1: switch over into natural product medicine, not many of us 114 00:05:36,000 --> 00:05:39,960 Speaker 1: switch back over into we kind of just so our 115 00:05:40,000 --> 00:05:41,640 Speaker 1: group ends up getting a little bit biger all time. 116 00:05:41,839 --> 00:05:45,400 Speaker 1: So for me, I was dealing with so many different things. 117 00:05:45,560 --> 00:05:47,880 Speaker 1: I would My stomach was a mess. Everything I ate 118 00:05:47,960 --> 00:05:50,599 Speaker 1: made me sick and bloated. I tried all these restrictive 119 00:05:50,640 --> 00:05:54,200 Speaker 1: diets and I was still getting problems. And I had 120 00:05:54,240 --> 00:05:59,200 Speaker 1: the most debilitating cramp period pain during my mental cycle. 121 00:06:00,200 --> 00:06:05,039 Speaker 1: I had horrible insomnia, anxiety all the time, severe OCD, 122 00:06:05,240 --> 00:06:07,960 Speaker 1: and so it just seemed like I and I had 123 00:06:08,000 --> 00:06:10,800 Speaker 1: doctors tell me like, you're not unhealthy, but you get 124 00:06:10,880 --> 00:06:13,320 Speaker 1: sick a lot. It seemed like I just caught every 125 00:06:13,480 --> 00:06:16,680 Speaker 1: little thing that came my way. So I had strapped 126 00:06:16,880 --> 00:06:21,160 Speaker 1: so many times, had staff infections and ear infections, just 127 00:06:21,480 --> 00:06:23,640 Speaker 1: all these things that little kids kind of were supposed 128 00:06:23,680 --> 00:06:25,560 Speaker 1: to get, but adults can kind of expect them to 129 00:06:25,640 --> 00:06:28,240 Speaker 1: not really get those things anymore as much. And I 130 00:06:28,320 --> 00:06:33,160 Speaker 1: was just getting everything. So I felt like my immune system. 131 00:06:33,360 --> 00:06:35,279 Speaker 1: I was like, I know it's not working great. Is 132 00:06:35,279 --> 00:06:37,279 Speaker 1: it overreactive? Is it under I don't know what's going on. 133 00:06:37,320 --> 00:06:40,919 Speaker 1: And so I started seeing a naturopathic practitioner and she 134 00:06:41,200 --> 00:06:43,040 Speaker 1: was the one that said, oh, well, you know, do 135 00:06:43,080 --> 00:06:45,320 Speaker 1: you have OCD? And I didn't tell her I did. 136 00:06:45,400 --> 00:06:47,640 Speaker 1: I just went in for, you know, all the things 137 00:06:47,640 --> 00:06:50,800 Speaker 1: that I knew you could fix without medications. I thought, 138 00:06:51,200 --> 00:06:52,599 Speaker 1: if you need to fix a head to be a 139 00:06:52,640 --> 00:06:54,320 Speaker 1: med thing, you know, So I was taken out a 140 00:06:54,360 --> 00:06:56,440 Speaker 1: van from Mexico. I was like, I'll just do that myself. 141 00:06:56,800 --> 00:06:58,960 Speaker 1: So she said, you know, we can do so for OCD, 142 00:06:59,200 --> 00:07:00,840 Speaker 1: and I was like, no, no, well I've already been 143 00:07:00,839 --> 00:07:03,080 Speaker 1: told that. It's you know, take a man. I don't 144 00:07:03,080 --> 00:07:04,599 Speaker 1: want to take an SSRI. I don't want to do that. 145 00:07:05,000 --> 00:07:07,200 Speaker 1: I'd rather just take out of it when I need 146 00:07:07,240 --> 00:07:10,160 Speaker 1: it and drink alcohol and self medicat and all that stuff. 147 00:07:10,600 --> 00:07:13,480 Speaker 1: She's like, no, we can do so much more than that. 148 00:07:14,040 --> 00:07:19,520 Speaker 1: And it was absolutely incredible how my ocity really just disappeared, 149 00:07:19,760 --> 00:07:22,880 Speaker 1: It just went away. And after that I thought, this 150 00:07:23,000 --> 00:07:25,480 Speaker 1: is like a secret, Like how did everyone needs to 151 00:07:25,560 --> 00:07:27,480 Speaker 1: know this? Like I have not been the only person 152 00:07:27,480 --> 00:07:30,679 Speaker 1: in the world that was told, well, you can try 153 00:07:30,680 --> 00:07:35,320 Speaker 1: an SSRI or you can do some psychotherapy for OCD, 154 00:07:35,480 --> 00:07:38,800 Speaker 1: and that's kind of it. And so most people don't 155 00:07:38,840 --> 00:07:42,000 Speaker 1: like those two options, you know, and I think that's 156 00:07:42,040 --> 00:07:44,560 Speaker 1: been sort of this giant untold thing. It's like, no, 157 00:07:44,600 --> 00:07:47,440 Speaker 1: there's a third option. It's get to the root costs. 158 00:07:47,560 --> 00:07:49,200 Speaker 1: Do that and then OCD will go. 159 00:07:49,200 --> 00:07:55,080 Speaker 2: I interesting and how quickly was the resolution in your OCD. 160 00:07:55,680 --> 00:07:58,480 Speaker 2: Was it a gradual process over a month, or was 161 00:07:58,520 --> 00:08:00,240 Speaker 2: it something that you kind of went, oh wow, wow, 162 00:08:00,800 --> 00:08:01,640 Speaker 2: that's different. 163 00:08:02,000 --> 00:08:05,760 Speaker 1: It was about a month. It was dramatic, and for me, 164 00:08:06,320 --> 00:08:09,160 Speaker 1: I noticed it originally when I left the bathroom. I 165 00:08:09,160 --> 00:08:11,040 Speaker 1: normally I had a lot of rituals, like washing my 166 00:08:11,080 --> 00:08:14,440 Speaker 1: hands multiple times, and I remember walking out of the 167 00:08:14,480 --> 00:08:17,560 Speaker 1: bathroom and I thought that's weird. But I felt like 168 00:08:17,640 --> 00:08:19,640 Speaker 1: it took me no time at all, and I knew 169 00:08:19,640 --> 00:08:20,960 Speaker 1: something was off. And I was like, oh my god. 170 00:08:21,000 --> 00:08:24,080 Speaker 1: I didn't compulse, like I didn't even think to do it. 171 00:08:24,120 --> 00:08:26,600 Speaker 1: I just forgot to do it. And I was like, 172 00:08:26,680 --> 00:08:29,440 Speaker 1: that's cool. And my ex husband at the time, my 173 00:08:29,440 --> 00:08:33,559 Speaker 1: ex husband, he was the one said you don't talk anymore. 174 00:08:34,280 --> 00:08:37,360 Speaker 1: And I was a compulsive talker because I was trying 175 00:08:37,400 --> 00:08:39,400 Speaker 1: to fill up the space. I was anxious, and it 176 00:08:39,440 --> 00:08:42,560 Speaker 1: was part of my anxiety brain to just fill up 177 00:08:42,600 --> 00:08:45,040 Speaker 1: the time in the space. And he's like, you don't 178 00:08:45,080 --> 00:08:49,120 Speaker 1: say anything anymore. I was like, I don't feel a 179 00:08:49,240 --> 00:08:52,120 Speaker 1: need to say anything. I feel like I was okay 180 00:08:52,160 --> 00:08:54,040 Speaker 1: with the quiet space. And it really felt like someone 181 00:08:54,080 --> 00:08:55,560 Speaker 1: took it out of my brain. I felt like there 182 00:08:55,600 --> 00:08:59,080 Speaker 1: was a space left and I was like, well, so 183 00:08:59,160 --> 00:09:01,800 Speaker 1: I actually got depressed right after. And that's because I 184 00:09:01,840 --> 00:09:06,240 Speaker 1: sort of had this identity crisis, and it's because I'm 185 00:09:06,240 --> 00:09:08,960 Speaker 1: not the ozity girl and I don't know if I 186 00:09:08,960 --> 00:09:10,920 Speaker 1: I mean, did I I picked up this shirt but 187 00:09:10,960 --> 00:09:13,240 Speaker 1: I had do I even like it? Or did OC 188 00:09:13,440 --> 00:09:16,599 Speaker 1: digally like it? Did I pick it because of a compulsioner? 189 00:09:17,400 --> 00:09:19,800 Speaker 1: And everything was a question in my life, like did 190 00:09:19,800 --> 00:09:22,960 Speaker 1: I pick the right shirt? Did I pick the right husband? 191 00:09:23,120 --> 00:09:26,960 Speaker 1: Like it was so intense joint to decide right, give. 192 00:09:26,800 --> 00:09:28,880 Speaker 5: It that you got an ex husband not an ended 193 00:09:28,960 --> 00:09:30,439 Speaker 5: up being no, it was no. 194 00:09:33,280 --> 00:09:38,400 Speaker 1: Yeah, it was a no. So yeah it was. It 195 00:09:38,480 --> 00:09:40,679 Speaker 1: was a lot to try to figure out it unpack 196 00:09:41,040 --> 00:09:45,760 Speaker 1: and definitely an identity crisis and a transformational experience. And 197 00:09:46,480 --> 00:09:48,880 Speaker 1: that part took a long time. The OC going away, 198 00:09:49,000 --> 00:09:52,960 Speaker 1: that part actually was relatively quick, but all the recovery 199 00:09:53,080 --> 00:09:55,599 Speaker 1: stuff and trying to figure out, well, what's going to 200 00:09:55,640 --> 00:09:59,360 Speaker 1: take that place? I spent hours a day obsessing, compulsaying now, yeah, 201 00:09:59,559 --> 00:10:01,520 Speaker 1: what like what do I do now? 202 00:10:01,760 --> 00:10:04,520 Speaker 2: So it's kind of like an elite athlete who then 203 00:10:04,720 --> 00:10:08,520 Speaker 2: just stops playing. It is like your whole identity is 204 00:10:08,559 --> 00:10:12,520 Speaker 2: now just gone and there's this an existential vacuum. 205 00:10:12,840 --> 00:10:15,480 Speaker 1: Oh, yes, that is exactly what it is, you know, 206 00:10:15,679 --> 00:10:19,040 Speaker 1: especially if you identify so much with this thing, you know, 207 00:10:19,200 --> 00:10:22,360 Speaker 1: like whether it's like you're an athlete or your mom 208 00:10:22,440 --> 00:10:25,360 Speaker 1: and your kids leave, like when your role changes, like 209 00:10:25,400 --> 00:10:27,800 Speaker 1: your identity is just shaken to the core, and then 210 00:10:27,800 --> 00:10:28,400 Speaker 1: it's like whoever. 211 00:10:28,960 --> 00:10:35,400 Speaker 2: That's a really interesting segue into all sort of mental health, right, 212 00:10:35,559 --> 00:10:38,840 Speaker 2: because it's interesting. I was listening to a psychiatrist talking 213 00:10:38,920 --> 00:10:41,880 Speaker 2: a podcast the other day and she said, because their 214 00:10:42,040 --> 00:10:45,319 Speaker 2: training is all around the DSAM, she said that she 215 00:10:45,520 --> 00:10:48,560 Speaker 2: find that when she was talking to patients for the 216 00:10:48,600 --> 00:10:55,640 Speaker 2: first time, rather than listening to them one hundred percent empathetically, 217 00:10:56,320 --> 00:11:00,960 Speaker 2: her brain was like, Okay, which by do I put 218 00:11:01,000 --> 00:11:03,079 Speaker 2: her in? Or watch bucket? Do I put her in? What? 219 00:11:03,200 --> 00:11:06,920 Speaker 2: Liebel Am I going to assign to this person? And 220 00:11:07,080 --> 00:11:09,840 Speaker 2: I find there are a lot of people I really 221 00:11:10,400 --> 00:11:15,319 Speaker 2: don't like this term it's my anxiety or it's my depression, 222 00:11:16,040 --> 00:11:19,160 Speaker 2: because it's like it's a part of you and it 223 00:11:19,200 --> 00:11:21,040 Speaker 2: becomes part of the identity. 224 00:11:21,400 --> 00:11:21,559 Speaker 6: Right. 225 00:11:23,080 --> 00:11:25,200 Speaker 2: Do you see that a lot when you're talking with 226 00:11:25,280 --> 00:11:28,960 Speaker 2: patients is that they identify with the label that they've 227 00:11:29,000 --> 00:11:30,600 Speaker 2: been given all the time. 228 00:11:31,240 --> 00:11:34,920 Speaker 1: And I think it comes from a place of validation 229 00:11:35,520 --> 00:11:38,080 Speaker 1: and the need for it, because so many people are like, 230 00:11:38,120 --> 00:11:39,760 Speaker 1: what's wrong with me? What's wrong with this? And they 231 00:11:39,760 --> 00:11:42,200 Speaker 1: finally find out they need to hold on to that 232 00:11:42,320 --> 00:11:45,400 Speaker 1: validation of Okay, now I actually know and someone believes me. 233 00:11:46,040 --> 00:11:49,520 Speaker 1: But that sort of can turn into this, how do 234 00:11:49,600 --> 00:11:50,839 Speaker 1: I fit deeper into this? 235 00:11:51,600 --> 00:11:54,840 Speaker 2: But that's a nice free is that's a nice prae 236 00:11:54,920 --> 00:11:57,400 Speaker 2: is how do I fit deeper into this because that's 237 00:11:57,480 --> 00:12:01,760 Speaker 2: kind of what I'm observing, particularly with young people. My 238 00:12:02,520 --> 00:12:05,800 Speaker 2: I like that, Yeah, fitting deeper into it. Let's because 239 00:12:05,840 --> 00:12:09,160 Speaker 2: because you talked earlier on about SSRIs, right, we know 240 00:12:10,080 --> 00:12:14,720 Speaker 2: that SSRs s NRIs. You know, antidepressant medication. One in 241 00:12:15,000 --> 00:12:18,319 Speaker 2: seven people in Australia are on an antidepressant. It's one 242 00:12:18,320 --> 00:12:20,520 Speaker 2: in one in eight in the UK and one an 243 00:12:20,520 --> 00:12:23,640 Speaker 2: eight in New Zealand. I think it's even more in 244 00:12:23,720 --> 00:12:25,839 Speaker 2: the States. And I heard the other day and I 245 00:12:26,440 --> 00:12:28,360 Speaker 2: have to go and try and find this that one 246 00:12:28,400 --> 00:12:32,920 Speaker 2: in four women in the States are on an antidepressant, 247 00:12:33,080 --> 00:12:39,400 Speaker 2: which is just bonkers. And my listeners will have heard 248 00:12:39,400 --> 00:12:42,839 Speaker 2: me talk about this before in Australia, and I think 249 00:12:42,880 --> 00:12:46,680 Speaker 2: it's almost identical. In the States. Eighty five percent of 250 00:12:46,720 --> 00:12:52,400 Speaker 2: psychiatric medication is dispensed by non psychiatric doctors eighty five 251 00:12:52,440 --> 00:12:56,080 Speaker 2: percent of the scripts, right, And the guidelines when you 252 00:12:56,080 --> 00:12:58,959 Speaker 2: look at the DSM is that they should be on 253 00:12:59,000 --> 00:13:01,680 Speaker 2: them for six to twelve months. It should be a 254 00:13:01,720 --> 00:13:05,440 Speaker 2: temporary thing. In Australia, the average length of use is 255 00:13:05,440 --> 00:13:10,559 Speaker 2: four years and getting worse. And we nine know that 256 00:13:10,600 --> 00:13:15,120 Speaker 2: there are a ridiculous amount of side effects. I'm going 257 00:13:15,160 --> 00:13:18,440 Speaker 2: to be interviewing pretty soon Professor John Reid who's done 258 00:13:18,440 --> 00:13:23,920 Speaker 2: research on this onreal people experiencing it right, which is 259 00:13:24,120 --> 00:13:27,160 Speaker 2: different too. And I think what our listeners need to 260 00:13:27,240 --> 00:13:31,920 Speaker 2: understand is that the side effects in inverted comments that 261 00:13:32,080 --> 00:13:35,880 Speaker 2: are associated with the medication officially are the ones that 262 00:13:35,920 --> 00:13:37,760 Speaker 2: were tested in clinical trials. 263 00:13:37,840 --> 00:13:39,760 Speaker 5: And it turns out they didn't. 264 00:13:39,520 --> 00:13:42,000 Speaker 2: Even ask the question for a lot of these conditions, 265 00:13:42,080 --> 00:13:43,599 Speaker 2: so are for a lot of the side effects. And 266 00:13:43,679 --> 00:13:45,719 Speaker 2: guess what happens if you don't ask the question? There 267 00:13:45,760 --> 00:13:48,280 Speaker 2: is no side effect, right. But I'm just going to 268 00:13:48,280 --> 00:13:50,160 Speaker 2: read you out a few stats and that will kick 269 00:13:50,160 --> 00:13:54,240 Speaker 2: off a conversation of a twenty eighteen peer reviewed article 270 00:13:54,600 --> 00:13:58,679 Speaker 2: assessed over fourteen hundred patients who'd been across thirty one 271 00:13:58,720 --> 00:14:02,959 Speaker 2: different countries right cross cultural about their side effects, and 272 00:14:03,160 --> 00:14:07,880 Speaker 2: sixty one percent of patients experienced at least ten side effects. 273 00:14:08,080 --> 00:14:08,280 Speaker 1: Right. 274 00:14:08,640 --> 00:14:12,439 Speaker 2: Here's what the data said. Seventy one percent felt emotionally numb, 275 00:14:12,840 --> 00:14:17,760 Speaker 2: seventy percent felt foggyar detached, sixty six percent feeling that 276 00:14:17,840 --> 00:14:21,880 Speaker 2: I'm not myself, sixty six percent sexual difficulties which were 277 00:14:21,920 --> 00:14:26,520 Speaker 2: often persistent, sixty three percent drives iness, sixty percent reduction 278 00:14:26,640 --> 00:14:33,200 Speaker 2: in positive feelings, fifty percent suicidality suicidal thoughts, and fifty 279 00:14:33,280 --> 00:14:36,680 Speaker 2: nine percent withdrawal effects if they try to come off, 280 00:14:36,800 --> 00:14:39,520 Speaker 2: and forty percent felt that they were actually addicted to 281 00:14:39,560 --> 00:14:44,480 Speaker 2: the drugs. Now, we need to balance this with sometimes 282 00:14:44,520 --> 00:14:49,880 Speaker 2: these are life saving medications, particularly for people with very 283 00:14:50,120 --> 00:14:54,440 Speaker 2: severe disorders, right, But the vast majority of people who 284 00:14:54,440 --> 00:14:57,160 Speaker 2: are on these do not have severe They have mild 285 00:14:57,240 --> 00:14:59,040 Speaker 2: to moderate issues. Right. 286 00:15:00,560 --> 00:15:01,760 Speaker 5: I just wanted to get. 287 00:15:01,600 --> 00:15:06,040 Speaker 2: Your observations on that, what's your racial thoughts about that, 288 00:15:06,160 --> 00:15:08,280 Speaker 2: and what do you see clinically? 289 00:15:08,600 --> 00:15:12,840 Speaker 1: I would say that sounds very representative of what I 290 00:15:12,840 --> 00:15:18,120 Speaker 1: see clinically, especially sexual dysfunction, waking, fatigue, emotional numbness. And 291 00:15:18,160 --> 00:15:20,960 Speaker 1: what's really interesting about these medications is they're markets so 292 00:15:21,120 --> 00:15:24,880 Speaker 1: well at being hey, there's a medication that's going to 293 00:15:24,920 --> 00:15:27,720 Speaker 1: reduce your depression, but actually it has a better chance 294 00:15:27,800 --> 00:15:31,000 Speaker 1: statistically of reducing your sexual function than it does it 295 00:15:31,040 --> 00:15:34,200 Speaker 1: treating your depression. So it should be marketed for what 296 00:15:34,200 --> 00:15:37,840 Speaker 1: it does the best, right, It should be marketed for like, hey, 297 00:15:38,280 --> 00:15:42,000 Speaker 1: we found a kind of toxic substance, and actually it 298 00:15:42,040 --> 00:15:45,800 Speaker 1: can really turn off someone's emotions, and it can disrupt 299 00:15:45,800 --> 00:15:48,920 Speaker 1: their appetite, and it can cause sleep problems. It does 300 00:15:49,000 --> 00:15:51,000 Speaker 1: sort of numb them out, which I guess is good 301 00:15:51,000 --> 00:15:54,280 Speaker 1: if someone's really depressed. But that's not good marketing, you know, 302 00:15:54,640 --> 00:15:58,160 Speaker 1: so they have to sell it this certain way. And 303 00:15:58,200 --> 00:16:00,320 Speaker 1: that's a huge part. I have a problem with this, 304 00:16:00,400 --> 00:16:03,040 Speaker 1: all the marketing involved in these medications, not just that 305 00:16:03,120 --> 00:16:05,040 Speaker 1: you can ask for yourself. 306 00:16:04,760 --> 00:16:07,280 Speaker 2: But and I think in the States it's very different 307 00:16:07,320 --> 00:16:12,160 Speaker 2: because it's actively marketed to individuals. I couldn't believe it 308 00:16:12,240 --> 00:16:16,040 Speaker 2: being in the States, how many adverts there were for 309 00:16:16,160 --> 00:16:20,800 Speaker 2: drugs for medications like directly advertising to consumers. 310 00:16:21,160 --> 00:16:21,720 Speaker 5: It's wild. 311 00:16:21,800 --> 00:16:24,720 Speaker 1: Yeah here, and I believe New Zealand direct to consumer 312 00:16:24,760 --> 00:16:29,440 Speaker 1: advertising is absolutely legal. And in addition to that being 313 00:16:29,440 --> 00:16:31,960 Speaker 1: a problem, you know, I think the way that the 314 00:16:32,040 --> 00:16:37,760 Speaker 1: drugs are marketed to physicians as well. So originally valume 315 00:16:37,880 --> 00:16:42,120 Speaker 1: was marketed as being a recovery it's so ben volumes 316 00:16:42,160 --> 00:16:44,600 Speaker 1: of benzodaea as a pen for anxiety. It was marketed 317 00:16:44,680 --> 00:16:48,240 Speaker 1: as a recovery agent for people that just had my 318 00:16:48,400 --> 00:16:50,920 Speaker 1: cardion function that needed to get back into life. You 319 00:16:50,920 --> 00:16:54,440 Speaker 1: could give them just insane. So but unfortunately, because the 320 00:16:54,440 --> 00:16:56,920 Speaker 1: marketing is so good, and then also even stems back 321 00:16:56,960 --> 00:17:00,280 Speaker 1: further to like what we call them, like for example, 322 00:17:01,280 --> 00:17:05,280 Speaker 1: lithium carbonates called a mood stabilizer. A mostable is not 323 00:17:05,280 --> 00:17:08,800 Speaker 1: a medical term, but even doctors call it that even 324 00:17:08,840 --> 00:17:12,600 Speaker 1: though it's actually not. It's an eliptic. The same with antipsychotics. 325 00:17:12,600 --> 00:17:15,879 Speaker 1: Those used to actually be called ne e eleptics, but 326 00:17:16,080 --> 00:17:19,480 Speaker 1: they decide to call it antipsychotic because that gives the 327 00:17:19,480 --> 00:17:23,840 Speaker 1: impression it will stop psychosis. It actually may not stop 328 00:17:23,880 --> 00:17:27,560 Speaker 1: psychosis for the individual. It will make them more compliant, 329 00:17:27,920 --> 00:17:30,840 Speaker 1: it will stop their hostility. They may not talk about 330 00:17:30,880 --> 00:17:32,960 Speaker 1: what's going on as much. It may not actually help 331 00:17:33,000 --> 00:17:35,800 Speaker 1: them feel better as a person. So I think that's 332 00:17:35,840 --> 00:17:38,960 Speaker 1: sort of misleading everybody what the drugs are actually going 333 00:17:39,040 --> 00:17:39,239 Speaker 1: to do. 334 00:17:39,640 --> 00:17:42,880 Speaker 2: And I heard a scurry sat the other day again 335 00:17:43,040 --> 00:17:47,080 Speaker 2: with a from a very senior medical person that over 336 00:17:47,160 --> 00:17:51,520 Speaker 2: eighty five percent of drugs, prescription drugs and the US 337 00:17:51,560 --> 00:17:58,160 Speaker 2: are used all fleable. Oh so they're actually being used 338 00:17:58,240 --> 00:18:02,359 Speaker 2: for stuff that they weren't approved for in the first place. 339 00:18:02,600 --> 00:18:06,320 Speaker 2: And now it's because that clinically they've kind of found 340 00:18:06,400 --> 00:18:09,640 Speaker 2: benefits when they've tried somebody on something and noticed that, hey, 341 00:18:09,680 --> 00:18:11,200 Speaker 2: this person's got better. 342 00:18:11,280 --> 00:18:12,439 Speaker 5: But this is all drugs. 343 00:18:12,440 --> 00:18:15,720 Speaker 2: This isn't just this isn't just mood drugs. There's all drugs. 344 00:18:16,040 --> 00:18:19,240 Speaker 2: Eighty five percent of them in the States are awfulble 345 00:18:19,280 --> 00:18:21,000 Speaker 2: I'd love to know what it is in over here. 346 00:18:21,160 --> 00:18:22,960 Speaker 5: I'm sure it's quite similar. 347 00:18:23,280 --> 00:18:26,680 Speaker 2: But that then it becomes really interesting, doesn't it, whenever 348 00:18:26,720 --> 00:18:30,280 Speaker 2: we look at how all of these things are a 349 00:18:30,520 --> 00:18:35,920 Speaker 2: both marketed and then used. But let's be clear, I'm 350 00:18:35,960 --> 00:18:40,160 Speaker 2: not saying that that that medications are bad. We're not 351 00:18:40,640 --> 00:18:44,280 Speaker 2: throwing that out there for all medications. But it's just 352 00:18:44,359 --> 00:18:46,360 Speaker 2: people being a word that a lot of them are 353 00:18:46,440 --> 00:18:49,000 Speaker 2: used off labele. But then when we get into the 354 00:18:49,160 --> 00:18:52,600 Speaker 2: mood drugs, as you say, a lot of them are 355 00:18:53,000 --> 00:18:55,520 Speaker 2: used and appear to be effective at least in the 356 00:18:55,560 --> 00:18:58,919 Speaker 2: short term, and can be effective for people with severe 357 00:18:59,000 --> 00:19:03,399 Speaker 2: issues because they numb emotions, but then they numb up 358 00:19:03,440 --> 00:19:04,640 Speaker 2: lots of other things as well. 359 00:19:04,880 --> 00:19:06,680 Speaker 5: Right, So let's talk. 360 00:19:06,480 --> 00:19:11,720 Speaker 2: About your approach and how it's differed. So if somebody 361 00:19:11,840 --> 00:19:14,359 Speaker 2: comes into you with and you pick your flee of 362 00:19:14,359 --> 00:19:17,520 Speaker 2: our whether it's depression and anxiety OCD or all of them, 363 00:19:17,920 --> 00:19:19,760 Speaker 2: what is your approach tend to look like? 364 00:19:20,160 --> 00:19:23,920 Speaker 1: So I have a very holistic approach for people coming 365 00:19:23,960 --> 00:19:26,840 Speaker 1: in with whatever it is, anxiety, oh see whatever. And 366 00:19:26,880 --> 00:19:31,040 Speaker 1: that's because so often most of these mental health symptoms 367 00:19:31,320 --> 00:19:35,280 Speaker 1: that you are in the DSM. My problem with that is 368 00:19:35,280 --> 00:19:39,320 Speaker 1: that almost every single condition in there, the recommended gold 369 00:19:39,400 --> 00:19:44,479 Speaker 1: standard form of treatment is it's probagenetic, takeing medication, consider 370 00:19:44,520 --> 00:19:49,840 Speaker 1: therapy almost everything. When reality, most of the time, much 371 00:19:49,880 --> 00:19:53,160 Speaker 1: of the time, if someone has depression that's not related 372 00:19:53,200 --> 00:19:58,359 Speaker 1: to gree for trauma, it's often physiological. So even simplistically, 373 00:19:58,400 --> 00:20:02,040 Speaker 1: if someone had you know, hypothire, you know, why not 374 00:20:02,280 --> 00:20:06,439 Speaker 1: check that first before giving someone an SSRI for And 375 00:20:06,440 --> 00:20:09,280 Speaker 1: that's because I think so often people quote unquote complain 376 00:20:09,440 --> 00:20:11,720 Speaker 1: and they're very short fifteen minutes with a doctor about 377 00:20:11,720 --> 00:20:14,199 Speaker 1: the thing that bothers in the most. So even if 378 00:20:14,240 --> 00:20:16,360 Speaker 1: they have dry skin, that's going to take a back seat. 379 00:20:16,359 --> 00:20:17,680 Speaker 1: They're not going to bring that up. They're going to 380 00:20:17,720 --> 00:20:21,120 Speaker 1: say I got depression, and the doctor's going to go, oh, checkbox, great, 381 00:20:21,320 --> 00:20:24,000 Speaker 1: how can I diagnose this and code it for insurance 382 00:20:24,280 --> 00:20:26,479 Speaker 1: you know which. To me, the DSM is just an 383 00:20:26,520 --> 00:20:30,200 Speaker 1: insurance manual, which is unfortunate because it directs us to 384 00:20:30,240 --> 00:20:33,879 Speaker 1: treat medicine a certain way, which doesn't work in mental health. 385 00:20:34,000 --> 00:20:36,880 Speaker 1: So then people coming in are going to go, hey, 386 00:20:36,880 --> 00:20:39,919 Speaker 1: I only have depression, Oh, no problem, I have a medication. 387 00:20:39,960 --> 00:20:42,960 Speaker 1: It's quote unquote good for that. And in reality they 388 00:20:42,960 --> 00:20:46,640 Speaker 1: were never worked up thoroughly for something physiological first, which 389 00:20:46,640 --> 00:20:48,600 Speaker 1: I think is the biggest the service for mental help. 390 00:20:48,920 --> 00:20:52,040 Speaker 1: So for me, that's my first question is what physiologically 391 00:20:52,119 --> 00:20:55,080 Speaker 1: can we look up first? And also what role is 392 00:20:55,080 --> 00:21:01,640 Speaker 1: trauma playing. Trauma can cause everything from acne, ibsnxiety, depression, insomnia, 393 00:21:02,119 --> 00:21:05,199 Speaker 1: you know, so forth, So I like to look at 394 00:21:05,200 --> 00:21:07,720 Speaker 1: all that together to see if we can figure out, okay, 395 00:21:07,920 --> 00:21:11,400 Speaker 1: is the anxiety even if it's a most prominent symptom 396 00:21:11,880 --> 00:21:15,159 Speaker 1: is it related to something physical that we can treat first? 397 00:21:15,240 --> 00:21:17,119 Speaker 1: And I do believe in stinder management. Of course, I 398 00:21:17,160 --> 00:21:19,080 Speaker 1: want people out to suffering, and I like to that 399 00:21:19,560 --> 00:21:22,960 Speaker 1: natural pathically as I can, so, meaning, can we reduce 400 00:21:23,000 --> 00:21:26,520 Speaker 1: inflammation through the diet. Can we use different nutraceuticals like 401 00:21:26,560 --> 00:21:30,080 Speaker 1: botanicals and different nutrients and things like that to help 402 00:21:30,160 --> 00:21:34,600 Speaker 1: target different pathways to support whatever could be probably causing 403 00:21:34,640 --> 00:21:36,120 Speaker 1: some of that anxiety or depression. 404 00:21:36,720 --> 00:21:38,400 Speaker 5: Yeah, and it's really interesting. 405 00:21:38,400 --> 00:21:42,199 Speaker 2: I interviewed doctor Mark Horowitz, who was one of the 406 00:21:42,720 --> 00:21:46,720 Speaker 2: authors on the landmark paper along with I think it's 407 00:21:46,800 --> 00:21:52,280 Speaker 2: Judia among Crief that basically completely debunk the serotonin theory 408 00:21:52,280 --> 00:21:56,480 Speaker 2: of depression. And Mark is actually leading. He's one of 409 00:21:56,520 --> 00:22:01,200 Speaker 2: the leaders on the Maudesley d prescribing guidelines. Right. Yeah, 410 00:22:01,240 --> 00:22:04,280 Speaker 2: so he's a psychiatrist. He's just finished in his training, 411 00:22:04,640 --> 00:22:07,800 Speaker 2: but he had severe depression and he said he went 412 00:22:07,880 --> 00:22:11,440 Speaker 2: on antidepressants and it almost killed him and getting off, 413 00:22:11,480 --> 00:22:16,639 Speaker 2: he said, was completely horrendous. But he is not, you know, 414 00:22:16,920 --> 00:22:21,320 Speaker 2: educating doctors on how to de prescribe, because he said 415 00:22:21,720 --> 00:22:23,639 Speaker 2: a lot of doctors if the pot patient comes in 416 00:22:23,680 --> 00:22:25,200 Speaker 2: and they want to get off it because they're having 417 00:22:25,240 --> 00:22:27,240 Speaker 2: all of those symptoms that we talked about, all those 418 00:22:27,240 --> 00:22:30,880 Speaker 2: side effects, A lot of doctors will just stop cold turkey, 419 00:22:31,160 --> 00:22:34,720 Speaker 2: or the patient will stop cold turkey. And he said 420 00:22:34,760 --> 00:22:37,919 Speaker 2: that that's just a disaster and that it's got to 421 00:22:38,000 --> 00:22:43,119 Speaker 2: be deprescribed in a in a very deliberate way. But 422 00:22:43,440 --> 00:22:46,399 Speaker 2: the reason I'm bringing this up is that their theory 423 00:22:46,440 --> 00:22:49,679 Speaker 2: is that most depression and they're just talking about depression here, well, 424 00:22:49,680 --> 00:22:52,679 Speaker 2: probably anxiety as well. It's caused by stress, and we 425 00:22:52,720 --> 00:22:58,800 Speaker 2: see those pathways HI stress impacts the brain, hi it Kit, Dampenstein, 426 00:22:59,200 --> 00:23:04,000 Speaker 2: neurotransmit a whole wide array of neurotransmitter release, right, but 427 00:23:04,119 --> 00:23:08,520 Speaker 2: it also affects the got which says a huge impact. 428 00:23:08,600 --> 00:23:11,679 Speaker 2: And I'm sure that we're preaching to the converted here 429 00:23:11,720 --> 00:23:14,040 Speaker 2: when we talk about the role that got in moot. 430 00:23:14,320 --> 00:23:17,119 Speaker 1: I've never seen someone with anxiety that didn't also have 431 00:23:17,160 --> 00:23:20,080 Speaker 1: gut issues. I don't think I've ever seen that, you know, 432 00:23:20,680 --> 00:23:23,080 Speaker 1: And we've been taught for so long that a calorie 433 00:23:23,080 --> 00:23:25,439 Speaker 1: is just a calorie, you could eat whatever you want, 434 00:23:26,240 --> 00:23:29,520 Speaker 1: which honestly might have been through one hundred years ago. 435 00:23:29,640 --> 00:23:31,520 Speaker 2: Yeah, that's right, And we then have all the ultra 436 00:23:31,600 --> 00:23:33,359 Speaker 2: process shit in the food. 437 00:23:33,520 --> 00:23:37,200 Speaker 1: Yeah, and it's just not true anymore. It's so hard 438 00:23:37,200 --> 00:23:38,800 Speaker 1: to know, like, oh, cool, now what do we eat? 439 00:23:38,800 --> 00:23:40,960 Speaker 1: What are you doing? What's inflaming my system? And things 440 00:23:41,000 --> 00:23:44,359 Speaker 1: that probably didn't bother people bother people now. But the 441 00:23:44,400 --> 00:23:48,040 Speaker 1: ideas of food really haven't changed in terms of you know, 442 00:23:48,080 --> 00:23:51,680 Speaker 1: modern medicine. It's like, no, just eat healthy and if 443 00:23:51,720 --> 00:23:55,119 Speaker 1: you have any sort of blood pressure issues or cholesterol, 444 00:23:55,320 --> 00:23:57,640 Speaker 1: just you don't have fat, that's bad, you know, and 445 00:23:57,680 --> 00:24:00,480 Speaker 1: it maybe go vegan and I don't know it. It's 446 00:24:00,520 --> 00:24:04,760 Speaker 1: just it's this old, old kind of adage about you know, like, oh, 447 00:24:05,119 --> 00:24:08,280 Speaker 1: fats are too high, lower your dietary fat. It's just crazy, 448 00:24:08,359 --> 00:24:12,280 Speaker 1: you know. So I do get very you know, soapboxy 449 00:24:12,320 --> 00:24:17,080 Speaker 1: about how we can use nutrition to help deal with 450 00:24:17,080 --> 00:24:19,200 Speaker 1: whatevery information is going on. And if the information is 451 00:24:19,280 --> 00:24:21,800 Speaker 1: effect in the brain, then of course we're get anxiety, depression, 452 00:24:22,000 --> 00:24:23,840 Speaker 1: obsessive thinking, that kind of stuff. 453 00:24:23,960 --> 00:24:28,760 Speaker 2: Yeah. I have often said that if you are let's 454 00:24:28,800 --> 00:24:35,240 Speaker 2: just take the stereotypical American or Australian right who doesn't 455 00:24:35,240 --> 00:24:38,800 Speaker 2: move very much at all, has shit, harsh sleep hygiene, 456 00:24:39,400 --> 00:24:44,360 Speaker 2: and has anywhere between in the States sixty to seventy 457 00:24:44,400 --> 00:24:48,320 Speaker 2: percent of their diet is from ultra processed shit, and 458 00:24:48,359 --> 00:24:51,800 Speaker 2: we're not far behind here in Australia, right those three 459 00:24:51,840 --> 00:24:55,359 Speaker 2: things eating a shit diet, not moving, and having purse 460 00:24:55,359 --> 00:24:59,080 Speaker 2: sleep hygiene. I've say, you're playing Russian Roulette with your 461 00:24:59,080 --> 00:25:01,920 Speaker 2: mental health, that is what you're doing. And how can 462 00:25:01,960 --> 00:25:08,200 Speaker 2: you expect like that this system, this ecosystem, is going 463 00:25:08,280 --> 00:25:11,520 Speaker 2: to function normally, not even well, is going to function 464 00:25:11,720 --> 00:25:19,200 Speaker 2: normally if you are actively undermining the ecosystem, like it's crazy. 465 00:25:19,040 --> 00:25:22,240 Speaker 1: It's absolutely crazy. I mean, it's I always kind of 466 00:25:22,359 --> 00:25:24,240 Speaker 1: joke like, hey, you know, if you want to say 467 00:25:24,240 --> 00:25:26,119 Speaker 1: yourself a little money and you want to see an end, 468 00:25:27,280 --> 00:25:29,480 Speaker 1: just take care of your diet first and your sleep first, 469 00:25:29,520 --> 00:25:31,640 Speaker 1: because they're going to tell you that first anyway, because 470 00:25:31,640 --> 00:25:35,440 Speaker 1: it's the foundation of everything. Because even if there's other 471 00:25:35,920 --> 00:25:39,359 Speaker 1: really severe things going on like insomnia and all that 472 00:25:39,440 --> 00:25:41,879 Speaker 1: kind of stuff, you know, there might be quote unquote 473 00:25:41,920 --> 00:25:45,760 Speaker 1: supplements that help address that. They will not interact well 474 00:25:45,800 --> 00:25:49,040 Speaker 1: with you if you are not eating well. You know, 475 00:25:49,119 --> 00:25:51,639 Speaker 1: if your prostaglanda level is so high, your inflammation is 476 00:25:51,640 --> 00:25:55,080 Speaker 1: so high, how you your body interprets what you just 477 00:25:55,119 --> 00:25:58,560 Speaker 1: expose itself to in terms of like a nutrient will 478 00:25:58,600 --> 00:26:01,120 Speaker 1: be different, and that's why epigeneta is the way it is. 479 00:26:01,200 --> 00:26:03,440 Speaker 1: So if you're if your stress is down, you eat well. 480 00:26:03,800 --> 00:26:06,080 Speaker 1: A lot of those risk factors we see with ebjects 481 00:26:06,240 --> 00:26:09,359 Speaker 1: don't exist, We just don't. But all of a sudden, 482 00:26:09,480 --> 00:26:12,720 Speaker 1: those inflammatory markers can suddenly flip themselves on, which is 483 00:26:12,760 --> 00:26:15,720 Speaker 1: not exactly accurate, but for simplicity, they flip themselves on, 484 00:26:16,119 --> 00:26:19,679 Speaker 1: and then all of a sudden, everything feels different. Everything does. 485 00:26:20,320 --> 00:26:25,000 Speaker 1: So it's and I totally understand. I struggle with it too, 486 00:26:25,040 --> 00:26:27,480 Speaker 1: trying to eat healthy. It's very difficult. 487 00:26:27,080 --> 00:26:30,920 Speaker 2: Because, especially especially in the modern world, right, and so hard. 488 00:26:31,280 --> 00:26:33,280 Speaker 2: And I think I need to qualify my last statement 489 00:26:33,320 --> 00:26:36,800 Speaker 2: about playing Russian Roulette with your mental health. I say 490 00:26:36,800 --> 00:26:40,160 Speaker 2: that completely without judgment. Right, I'm not pointing at people going, 491 00:26:40,160 --> 00:26:43,720 Speaker 2: you fucking decad, you're playing Russian Roulette with your mental health. 492 00:26:43,720 --> 00:26:47,479 Speaker 2: You're being an horsehole. It's like, if that is you, 493 00:26:47,920 --> 00:26:50,240 Speaker 2: and let's just just just look at it there and 494 00:26:50,320 --> 00:26:51,520 Speaker 2: you are playing russroom relet. 495 00:26:51,520 --> 00:26:52,960 Speaker 5: I'm not judging you, but that. 496 00:26:53,080 --> 00:26:55,919 Speaker 2: Is just the way it is, right because of the 497 00:26:55,960 --> 00:26:59,000 Speaker 2: way that our bodies and Brillan's work and the fact 498 00:26:59,040 --> 00:27:03,720 Speaker 2: that the brain is not epart from the body, and. 499 00:27:03,760 --> 00:27:06,360 Speaker 1: No one's you know, Noah's perfect. And obviously when we're 500 00:27:06,359 --> 00:27:09,040 Speaker 1: not in good places, it's harder to motivate ourselves to 501 00:27:09,320 --> 00:27:11,880 Speaker 1: do what we know our higher self wants us to do. 502 00:27:12,440 --> 00:27:15,960 Speaker 1: But we live in such a chemical based culture now. 503 00:27:16,040 --> 00:27:17,919 Speaker 1: It's like I don't like that smell, I'll get a 504 00:27:17,920 --> 00:27:21,680 Speaker 1: plug in. And I don't like the temperature. I can 505 00:27:21,800 --> 00:27:23,760 Speaker 1: use free on, you know, like I don't like the food, 506 00:27:23,760 --> 00:27:26,120 Speaker 1: but I can get food that stimulates my dopamine more. 507 00:27:26,640 --> 00:27:29,280 Speaker 1: Even I was talking about cinema the other day because 508 00:27:29,840 --> 00:27:33,119 Speaker 1: I'm obsessed with nineties movies, especially like you know, the 509 00:27:33,160 --> 00:27:35,879 Speaker 1: older ones, like the romantic comedies, anything with like Sandra 510 00:27:35,960 --> 00:27:38,520 Speaker 1: Bullock and Susan Sarandon, Kevin Coff. I love a lot 511 00:27:38,560 --> 00:27:41,159 Speaker 1: of stuff, And I was thinking about those movies and 512 00:27:41,200 --> 00:27:43,680 Speaker 1: how they are very slow and very subtle, and how 513 00:27:43,720 --> 00:27:48,919 Speaker 1: movies now there they're so hyper directed towards stimulating your 514 00:27:48,960 --> 00:27:51,200 Speaker 1: nerve transfer. So if you want to get your cours 515 00:27:51,240 --> 00:27:53,320 Speaker 1: all up, you can see like any thriller you want, 516 00:27:53,920 --> 00:27:55,840 Speaker 1: and it's not just seeing like a love story out 517 00:27:55,880 --> 00:27:59,320 Speaker 1: it's like the most drippy over the top like oohy 518 00:27:59,400 --> 00:28:01,800 Speaker 1: gouey loves or that you're gonna cry your eyes out, 519 00:28:01,840 --> 00:28:03,840 Speaker 1: your oxygen is gonna be off the turit. So it's 520 00:28:03,840 --> 00:28:06,360 Speaker 1: almost like you're just sort of satisfying as like these 521 00:28:06,400 --> 00:28:09,800 Speaker 1: chemical cravings anywhere you look, because like how do I modivate? 522 00:28:09,840 --> 00:28:11,600 Speaker 1: How Like we want to modify how we feel every 523 00:28:11,640 --> 00:28:14,639 Speaker 1: second of the day, every second. You know, That's why 524 00:28:14,720 --> 00:28:17,840 Speaker 1: joom scrolling is a thing and everything else, and it's 525 00:28:17,880 --> 00:28:19,520 Speaker 1: like how do you scape it? You know, like we 526 00:28:19,560 --> 00:28:21,360 Speaker 1: all have to make a living and work and live 527 00:28:21,400 --> 00:28:23,480 Speaker 1: in society. Like what are we supposed to do? 528 00:28:23,960 --> 00:28:26,240 Speaker 7: That was a tangent there, Yeah, well well no, I 529 00:28:26,280 --> 00:28:29,080 Speaker 7: mean it is we live in It's often said we 530 00:28:29,119 --> 00:28:32,920 Speaker 7: live in an obesogenic environment, right, it is set up 531 00:28:33,000 --> 00:28:35,800 Speaker 7: to drive obesi But I think it's deeper than that. 532 00:28:35,840 --> 00:28:41,960 Speaker 2: We live in a chronic disease augenic environment, both physical 533 00:28:42,080 --> 00:28:46,720 Speaker 2: and mental, because like you said, there's that dopamine hits 534 00:28:47,040 --> 00:28:51,600 Speaker 2: everywhere around us, but also you know, there's shit that 535 00:28:51,800 --> 00:28:56,240 Speaker 2: happens to be hyper palatable and super yummy, and when 536 00:28:56,280 --> 00:28:59,680 Speaker 2: you eat it, it releases more dopamine than we're supposed 537 00:28:59,680 --> 00:29:00,480 Speaker 2: to get from food. 538 00:29:00,520 --> 00:29:03,160 Speaker 5: That makes you eat more that. 539 00:29:03,080 --> 00:29:05,680 Speaker 2: You know, our work environments are set up now for 540 00:29:05,760 --> 00:29:11,200 Speaker 2: being completely sedentary, so you have to try a shit 541 00:29:11,280 --> 00:29:14,440 Speaker 2: load harder than somebody did thirty fifty years ago. 542 00:29:14,560 --> 00:29:15,640 Speaker 5: That that's the key. 543 00:29:15,480 --> 00:29:20,560 Speaker 1: Thing, absolutely, and it's it's no wonder the ADHD diagnose. 544 00:29:20,640 --> 00:29:25,160 Speaker 1: These rates are skyrocketing. Everyone is in this dopamine fatigue 545 00:29:25,200 --> 00:29:28,120 Speaker 1: state where we're bombarded the second way we wake up, 546 00:29:28,120 --> 00:29:31,400 Speaker 1: the second modest sleep, and of course how can any 547 00:29:31,440 --> 00:29:33,840 Speaker 1: of us really pay attention to things we want to 548 00:29:33,840 --> 00:29:37,240 Speaker 1: pay attention to, because that's to me, really what ADHD 549 00:29:37,400 --> 00:29:40,200 Speaker 1: is the inability to really focus on what you want 550 00:29:40,200 --> 00:29:42,200 Speaker 1: to focus on. And there's obviously more to it than that, 551 00:29:42,320 --> 00:29:45,360 Speaker 1: like you know, time blindness and anxiety and you know, 552 00:29:45,640 --> 00:29:47,840 Speaker 1: managing too many thoughts at once without you know, this's 553 00:29:47,840 --> 00:29:50,840 Speaker 1: all the stuff. But more people are coming in and 554 00:29:50,880 --> 00:29:54,200 Speaker 1: we're seeing it statistically too. That ADHD diagnosis is left 555 00:29:54,240 --> 00:29:58,800 Speaker 1: and right right right, it's wild because like people really 556 00:29:58,800 --> 00:30:01,560 Speaker 1: do want to feel better. And I've noticed when I 557 00:30:01,640 --> 00:30:05,400 Speaker 1: like post on Instagram, the stuff that I post that 558 00:30:05,480 --> 00:30:10,080 Speaker 1: makes people the most upset is when I criticize stimulant 559 00:30:10,720 --> 00:30:14,000 Speaker 1: stimular prescriptions for children, you know, because you can prescribe 560 00:30:14,000 --> 00:30:18,600 Speaker 1: them for kids as young as six, you know, and be. 561 00:30:18,720 --> 00:30:21,560 Speaker 5: Clear, it is legalized. 562 00:30:21,000 --> 00:30:24,880 Speaker 1: Speed absolutely, And people joke they say, oh, it's g 563 00:30:25,040 --> 00:30:28,440 Speaker 1: rated coke. It's not. It's actually methathotamine. It's closer to 564 00:30:28,480 --> 00:30:32,480 Speaker 1: methatheta means it is to cocaine. So it's funny because 565 00:30:32,720 --> 00:30:36,960 Speaker 1: I understand the desire because I've we've all felt that 566 00:30:37,000 --> 00:30:38,800 Speaker 1: anxiety of like I just want to go away, I 567 00:30:38,840 --> 00:30:41,080 Speaker 1: just want to feel normal. So and I don't want 568 00:30:41,080 --> 00:30:43,640 Speaker 1: to take that away from anybody, but I have a 569 00:30:43,680 --> 00:30:46,000 Speaker 1: lot of criticism of give math to children. You know 570 00:30:46,240 --> 00:30:48,440 Speaker 1: that I do believe is criminal, And I'm like, no, no, 571 00:30:48,400 --> 00:30:50,520 Speaker 1: we got it. Really else, that's not a good idea. 572 00:30:50,640 --> 00:30:52,120 Speaker 5: Let's talk about your approach. 573 00:30:52,160 --> 00:30:56,400 Speaker 2: So what sort of assessments and testing do you do 574 00:30:57,080 --> 00:31:00,520 Speaker 2: on people whenever they come in to try and guide 575 00:31:00,560 --> 00:31:01,960 Speaker 2: the root cause or the problem. 576 00:31:02,440 --> 00:31:07,000 Speaker 1: So a lot of people come in that are already 577 00:31:07,240 --> 00:31:09,560 Speaker 1: doing the diet. You know, I already don't eat sugar already. 578 00:31:09,760 --> 00:31:11,719 Speaker 1: You know, they've already got a set of labs that 579 00:31:11,760 --> 00:31:15,480 Speaker 1: look normal, which is very common and frustrating because people 580 00:31:15,520 --> 00:31:17,880 Speaker 1: are like I was really hoping there'd be something so 581 00:31:17,880 --> 00:31:19,760 Speaker 1: that I knew it to work on. So for me, 582 00:31:19,880 --> 00:31:22,320 Speaker 1: I actually love by residents and I use that with 583 00:31:22,400 --> 00:31:25,840 Speaker 1: most of my people, and so by resonance is a 584 00:31:25,880 --> 00:31:30,080 Speaker 1: type of frequency scanning or energy medicine, if you will. 585 00:31:30,440 --> 00:31:33,440 Speaker 1: And essentially it's so it's a device is created by 586 00:31:34,120 --> 00:31:37,680 Speaker 1: I forget his first name, but doctor something oh, I 587 00:31:37,680 --> 00:31:41,600 Speaker 1: think back in Germany. But it's it's on the framework 588 00:31:41,640 --> 00:31:46,000 Speaker 1: of homeopathy and acupuncture. So the idea of using different 589 00:31:46,640 --> 00:31:49,640 Speaker 1: like a grid system in the body like acupuncture, and 590 00:31:49,680 --> 00:31:54,680 Speaker 1: then different energy signatures from homeopathic, which is a huge 591 00:31:55,120 --> 00:32:00,360 Speaker 1: material medica. So combining that with a true gating those 592 00:32:00,360 --> 00:32:04,360 Speaker 1: frequencies to what we see in the body, we can 593 00:32:04,440 --> 00:32:07,680 Speaker 1: kind of get an understanding of, okay, what's actually happening 594 00:32:07,720 --> 00:32:11,160 Speaker 1: on a deeper level than just you know, labs on 595 00:32:11,200 --> 00:32:14,080 Speaker 1: their own. So I'll I use that a lot. People 596 00:32:14,080 --> 00:32:17,400 Speaker 1: will send me their DNA and then it basically the 597 00:32:17,960 --> 00:32:20,160 Speaker 1: it kind of operates sort of like a it's like 598 00:32:20,200 --> 00:32:23,280 Speaker 1: an O meter. So O meters basically detect the power 599 00:32:23,280 --> 00:32:25,960 Speaker 1: of something, how much power is there, So it's an 600 00:32:25,960 --> 00:32:28,560 Speaker 1: OH meter, So it's working on detecting the power or 601 00:32:28,600 --> 00:32:31,600 Speaker 1: the resonance of different frequencies that it's finding in the 602 00:32:31,680 --> 00:32:35,320 Speaker 1: DNA and from there it can give that information back 603 00:32:35,320 --> 00:32:38,840 Speaker 1: to me in a qualitative manner, meaning that I can't say, oh, 604 00:32:38,880 --> 00:32:40,600 Speaker 1: I want to know how much a softworm's person has. 605 00:32:40,680 --> 00:32:44,000 Speaker 1: Can't do that. It's more like a radio where you're 606 00:32:44,040 --> 00:32:46,680 Speaker 1: scanning different body systems, you know, like, oh, I got 607 00:32:46,680 --> 00:32:49,440 Speaker 1: deliver station and lung station, and whichever station is the 608 00:32:49,440 --> 00:32:52,320 Speaker 1: most stad that you can't hear. That's what we got 609 00:32:52,320 --> 00:32:55,240 Speaker 1: to treat first, because that's making the most noise. So 610 00:32:55,280 --> 00:32:57,320 Speaker 1: it's not a common for me to people come in 611 00:32:57,680 --> 00:32:59,720 Speaker 1: and they'll say, hey, I've got this one issue, but 612 00:32:59,760 --> 00:33:01,840 Speaker 1: then I run them and we see something else going 613 00:33:01,880 --> 00:33:04,920 Speaker 1: on and we treat that and find that that actually 614 00:33:04,960 --> 00:33:07,080 Speaker 1: helps resolve what they came in for, even though it 615 00:33:07,200 --> 00:33:10,360 Speaker 1: seemed unrelated at the time. So I love that I 616 00:33:10,480 --> 00:33:13,920 Speaker 1: used that quite a bit, and that's actually I got 617 00:33:13,920 --> 00:33:14,360 Speaker 1: better too. 618 00:33:14,480 --> 00:33:17,040 Speaker 5: That was what my I've never heard of that. 619 00:33:17,280 --> 00:33:21,000 Speaker 2: I remember seeing a guy Geese years ago who had 620 00:33:21,080 --> 00:33:23,520 Speaker 2: it was a nach party heard this machine from Germany 621 00:33:24,400 --> 00:33:26,920 Speaker 2: and I can't it was so long ago. It must 622 00:33:26,920 --> 00:33:30,000 Speaker 2: have been nearly twenty years ago, and it was something 623 00:33:30,080 --> 00:33:32,080 Speaker 2: to do. It was some new machine at the time. 624 00:33:32,080 --> 00:33:33,760 Speaker 2: I don't know if it's similar. I don't know it's 625 00:33:33,800 --> 00:33:37,320 Speaker 2: the same owner or similar. But I just remember going, 626 00:33:37,400 --> 00:33:39,400 Speaker 2: how the hell does this stuff work? I just don't. 627 00:33:39,440 --> 00:33:42,640 Speaker 2: I don't understand it, right, so does so You said 628 00:33:43,120 --> 00:33:45,959 Speaker 2: it's from their DNA, So did do you get it? 629 00:33:46,000 --> 00:33:48,520 Speaker 2: Do you get a spit sample as that genetic sample 630 00:33:48,560 --> 00:33:51,160 Speaker 2: from it? Or what's that? Imput? 631 00:33:51,360 --> 00:33:57,320 Speaker 1: You can actually use saliva, you'ine blood, hair or fingernails. 632 00:33:57,560 --> 00:34:01,080 Speaker 1: I ought for hair and fingernails just for sanitary reasons 633 00:34:01,120 --> 00:34:06,400 Speaker 1: on my end. So it's looking at probably what I mean. 634 00:34:06,680 --> 00:34:08,400 Speaker 1: It's it's so interesting, like because there's so much we 635 00:34:08,400 --> 00:34:10,239 Speaker 1: don't know about DNA, you know, like we don't we 636 00:34:10,320 --> 00:34:12,440 Speaker 1: kind of dismiss it like it was junk DNA. No, no, 637 00:34:12,560 --> 00:34:12,759 Speaker 1: it is. 638 00:34:13,400 --> 00:34:16,440 Speaker 2: There's so much hard DNA that is junk DNN, and 639 00:34:16,480 --> 00:34:17,960 Speaker 2: it's I know, I. 640 00:34:17,880 --> 00:34:21,800 Speaker 1: Love whether junk DNA, and you know your appendix is 641 00:34:21,800 --> 00:34:24,440 Speaker 1: a useless sort. I can't know. So it's like if 642 00:34:24,440 --> 00:34:26,920 Speaker 1: we don't understand it, we call it something junk or stupid. 643 00:34:26,920 --> 00:34:29,880 Speaker 1: But yeah, essentially that's what it's doing, is it's sending 644 00:34:30,440 --> 00:34:35,760 Speaker 1: one hundred and fifty thousand different electronic frequencies through the sample, 645 00:34:36,840 --> 00:34:40,759 Speaker 1: kind of looking for residents or dish resonance, and then 646 00:34:40,760 --> 00:34:42,520 Speaker 1: once it finds it information, it sends it back to 647 00:34:42,560 --> 00:34:45,480 Speaker 1: a computer and then I can see what's going on 648 00:34:45,560 --> 00:34:47,240 Speaker 1: in a more comprehensive way. 649 00:34:47,480 --> 00:34:49,759 Speaker 2: So from that that gives you a bit of a 650 00:34:49,760 --> 00:34:52,279 Speaker 2: guidance on what to trait and hard to treat. 651 00:34:52,520 --> 00:34:56,400 Speaker 1: Does it correct, Yeah, so it will tell me, you know, 652 00:34:56,440 --> 00:34:59,440 Speaker 1: what's going on physically, where emotions might be stored in 653 00:34:59,520 --> 00:35:02,480 Speaker 1: the body, what's coming up, or what might feel like. 654 00:35:02,560 --> 00:35:04,919 Speaker 1: Some of these people come in very commonly and they'll say, 655 00:35:04,920 --> 00:35:07,359 Speaker 1: I got like this chest pain, and I can't tell 656 00:35:07,360 --> 00:35:09,360 Speaker 1: if I should be terrified and go to the hospital, 657 00:35:09,440 --> 00:35:11,800 Speaker 1: and or I can't tell if it's just anxiety. I 658 00:35:11,880 --> 00:35:14,840 Speaker 1: don't know, and so sometimes there's a lot of confusion 659 00:35:14,840 --> 00:35:16,719 Speaker 1: about what kind of pain we're feeling and if it's 660 00:35:16,719 --> 00:35:19,960 Speaker 1: more emotional or if it's something physical. So this can 661 00:35:20,000 --> 00:35:21,839 Speaker 1: help kind of decipher some of that a little bit. 662 00:35:22,400 --> 00:35:24,600 Speaker 1: Sometimes it's one in the sane. But once we know 663 00:35:24,640 --> 00:35:27,320 Speaker 1: what's going on, then we can decide, oh, hey, we 664 00:35:27,360 --> 00:35:29,800 Speaker 1: want to do some further testing to get a deeper 665 00:35:29,840 --> 00:35:32,640 Speaker 1: look at this, or maybe we can start treatment right away. 666 00:35:32,640 --> 00:35:35,759 Speaker 1: In terms of all right, let's try different nutraceuticals and 667 00:35:35,920 --> 00:35:37,879 Speaker 1: peptides and things to see if we can help get 668 00:35:37,880 --> 00:35:39,200 Speaker 1: the body back in balance. 669 00:35:39,680 --> 00:35:44,720 Speaker 2: Talk to me about peptides, right, very interesting space, much 670 00:35:44,800 --> 00:35:47,359 Speaker 2: more much easier to use in the United States than 671 00:35:47,400 --> 00:35:53,120 Speaker 2: it is here. Like O, it's so ridiculously difficult to 672 00:35:53,120 --> 00:35:55,319 Speaker 2: get access to peptides here, whereas I know in the 673 00:35:55,320 --> 00:36:01,200 Speaker 2: States it's just way more open. Right. What of peptides 674 00:36:01,320 --> 00:36:04,200 Speaker 2: do you tend to? Is there some that you use 675 00:36:04,840 --> 00:36:07,239 Speaker 2: more frequently than others? And just sort of talk our 676 00:36:07,280 --> 00:36:09,960 Speaker 2: listeners through what some of these peptides can actually do. 677 00:36:10,760 --> 00:36:14,879 Speaker 1: So, peptides in a nutshell are hormones, but they're very 678 00:36:14,920 --> 00:36:19,399 Speaker 1: specific hormones. So hormones function based on how long their 679 00:36:19,400 --> 00:36:24,040 Speaker 1: amino acid sequence chain is. So for example, insulin is 680 00:36:24,040 --> 00:36:27,400 Speaker 1: a very short chain, it's a peptide, so just peptidusse 681 00:36:27,440 --> 00:36:35,000 Speaker 1: tiny protein, whereas TSH hormones very long chain, very complex hormone. 682 00:36:35,400 --> 00:36:38,479 Speaker 1: So we do see more global effects from that. Same 683 00:36:38,480 --> 00:36:42,000 Speaker 1: with T three. So insulin, because it's so small, has 684 00:36:42,040 --> 00:36:44,560 Speaker 1: a very tiny role, so it just sort of controls 685 00:36:44,800 --> 00:36:48,839 Speaker 1: our blood sugar balance. It's really mostly it. It's mostly it. 686 00:36:49,280 --> 00:36:52,160 Speaker 1: So we like peptides because they can get pretty targeted 687 00:36:52,360 --> 00:36:55,319 Speaker 1: into like what we want them specifically to do, which 688 00:36:55,360 --> 00:36:59,000 Speaker 1: is really nice. So more of the the older ones 689 00:36:59,040 --> 00:37:02,000 Speaker 1: had more to do with means to stem regulation and 690 00:37:02,239 --> 00:37:05,279 Speaker 1: repair regeneration, and a lot of that was connected because 691 00:37:05,320 --> 00:37:08,120 Speaker 1: they would affect the vasculature and prove blood flow to 692 00:37:08,160 --> 00:37:11,879 Speaker 1: the soft tissue, help support the thymus gland, things like that. 693 00:37:12,320 --> 00:37:14,359 Speaker 1: One of the older ones and what's considered I think 694 00:37:14,360 --> 00:37:16,360 Speaker 1: it still is an orphan drug in the US is 695 00:37:16,400 --> 00:37:19,880 Speaker 1: alpha thymous and alpha one, and that's because it's being 696 00:37:19,960 --> 00:37:23,680 Speaker 1: used in research alongside HIV medications because antiviral as well 697 00:37:23,719 --> 00:37:26,520 Speaker 1: as im ando supportive. So use that a lot with 698 00:37:26,520 --> 00:37:29,319 Speaker 1: different drugs we see if it's more effective. So for me, 699 00:37:29,680 --> 00:37:31,920 Speaker 1: there's so many and more than come out all the time, 700 00:37:32,120 --> 00:37:35,120 Speaker 1: and so because of that, there's very little research on them. 701 00:37:35,480 --> 00:37:38,160 Speaker 1: But for the most part, many of them are very 702 00:37:38,160 --> 00:37:40,839 Speaker 1: safe because they are basically hormones we already make. 703 00:37:41,239 --> 00:37:44,279 Speaker 2: I've heard of things like BPC one five seven, which 704 00:37:44,360 --> 00:37:49,360 Speaker 2: is supposed to do amazing shit for injury, anti inflammatory, 705 00:37:49,600 --> 00:37:52,560 Speaker 2: these sorts of things, and then some of the growth 706 00:37:52,640 --> 00:37:56,600 Speaker 2: hormone analogus like samoral and testimorial and those sorts of 707 00:37:56,640 --> 00:37:59,239 Speaker 2: things would these be things that you would use as 708 00:37:59,239 --> 00:38:00,879 Speaker 2: well in your yes. 709 00:38:01,320 --> 00:38:04,399 Speaker 1: I mean I even had a guy. It was years ago, 710 00:38:04,440 --> 00:38:06,719 Speaker 1: but I had a guy who, you know, he got 711 00:38:06,760 --> 00:38:09,360 Speaker 1: off psychments and he was doing pretty well, but he 712 00:38:09,440 --> 00:38:12,080 Speaker 1: was still struggling with sort of this. He was, I 713 00:38:12,080 --> 00:38:15,560 Speaker 1: remember it, sweating a lot, really anxious, trouble sleeping, a 714 00:38:15,600 --> 00:38:19,000 Speaker 1: ton of self blame, really poor confidence, really prone to 715 00:38:20,000 --> 00:38:22,680 Speaker 1: sensitivity and panic and stuff like that. So when we 716 00:38:22,680 --> 00:38:24,879 Speaker 1: did his bow residence, I could see that he had 717 00:38:24,920 --> 00:38:28,239 Speaker 1: actually very little growth hormone and we ran some laps too. 718 00:38:28,360 --> 00:38:31,080 Speaker 1: IGF one was pretty low, and so I was like, okay, 719 00:38:31,280 --> 00:38:33,200 Speaker 1: you need to get the growth hormone up, which we 720 00:38:33,200 --> 00:38:35,439 Speaker 1: can do naturally in some ways like Sana will bump 721 00:38:35,440 --> 00:38:37,560 Speaker 1: it up a little bit. It's a long time, but 722 00:38:37,600 --> 00:38:40,040 Speaker 1: it will. And the thing is girl hormone. It's very 723 00:38:40,040 --> 00:38:43,040 Speaker 1: active at night, so it helps us sleep. It's regenerative. 724 00:38:43,440 --> 00:38:46,200 Speaker 1: So we ended up doing I want to say, he 725 00:38:46,320 --> 00:38:50,560 Speaker 1: was c JC twelve ninety five with ipomarillon, and the 726 00:38:50,640 --> 00:38:52,880 Speaker 1: cool thing about that for him was that's what resolved 727 00:38:52,880 --> 00:38:56,000 Speaker 1: the panic. So even though it's not a mental health petside, 728 00:38:56,680 --> 00:38:59,600 Speaker 1: it treated the what was going on underneath and then 729 00:39:00,040 --> 00:39:02,080 Speaker 1: for him, I was, Okay, now you've got this sort 730 00:39:02,120 --> 00:39:04,279 Speaker 1: of you've done a round of it. We need to 731 00:39:04,320 --> 00:39:06,520 Speaker 1: maintain those effects. You've got to learn stress tolerance, you've 732 00:39:06,560 --> 00:39:08,560 Speaker 1: got to stick with somemit, you've got to keep working out, 733 00:39:08,840 --> 00:39:10,839 Speaker 1: you know, things like that to keep it going. And 734 00:39:10,880 --> 00:39:12,840 Speaker 1: that's where a lot of people, especially with like the 735 00:39:12,920 --> 00:39:15,239 Speaker 1: different you know, pep bins that are coming out now, 736 00:39:15,480 --> 00:39:17,680 Speaker 1: they want to maintain the results, not beyond the peptide forever, 737 00:39:17,760 --> 00:39:19,840 Speaker 1: because that's the whole point they're signaling molecules are not 738 00:39:19,880 --> 00:39:20,759 Speaker 1: meant for long term use. 739 00:39:20,880 --> 00:39:25,000 Speaker 2: Not really right, Okay, interesting, So tell me the process. 740 00:39:25,080 --> 00:39:28,240 Speaker 2: So you come to somebody you realize this peptide will help. 741 00:39:28,560 --> 00:39:31,279 Speaker 2: Do you then write them a script that they take 742 00:39:31,320 --> 00:39:33,840 Speaker 2: to compounding pharmacists to get the peptide. 743 00:39:33,840 --> 00:39:35,799 Speaker 5: How does the process work over there? 744 00:39:35,920 --> 00:39:39,800 Speaker 1: That was the process until the FDA said that compounding 745 00:39:39,800 --> 00:39:44,719 Speaker 1: pharmacies can no longer compound them anymore, because that's just 746 00:39:44,760 --> 00:39:45,319 Speaker 1: what they did. 747 00:39:45,719 --> 00:39:50,560 Speaker 2: So yeah, right, because part of the FDA have hurt 748 00:39:50,600 --> 00:39:53,320 Speaker 2: the block on quite a few peptides. I think BPP 749 00:39:53,600 --> 00:39:56,800 Speaker 2: one five seven might be one of them, so that 750 00:39:57,040 --> 00:39:59,160 Speaker 2: they're kind of coming going that one you can't use 751 00:39:59,200 --> 00:40:01,920 Speaker 2: anymore that one you can do anymore. So what's the 752 00:40:02,000 --> 00:40:07,560 Speaker 2: process then if you if you want to prescribe a peptide. 753 00:40:07,680 --> 00:40:10,439 Speaker 1: So now what's happened is and a lot of it 754 00:40:10,520 --> 00:40:12,960 Speaker 1: is the language. So it was it wasn't that we 755 00:40:13,000 --> 00:40:16,400 Speaker 1: couldn't buy or sell them or prescribe them. It was 756 00:40:16,760 --> 00:40:21,839 Speaker 1: compounders could not compound them. So labs popped up everywhere. 757 00:40:22,120 --> 00:40:24,480 Speaker 1: So we have all these peptide labs that have popped 758 00:40:24,560 --> 00:40:26,279 Speaker 1: up that are like, we're making it, we're making it, 759 00:40:26,280 --> 00:40:29,120 Speaker 1: we're making it. So they don't combine them with water. 760 00:40:29,400 --> 00:40:32,080 Speaker 1: They leave mostly they don't. They typically leave it as 761 00:40:32,160 --> 00:40:36,560 Speaker 1: just a preconstituted powder. They will not give you dosing information. 762 00:40:37,160 --> 00:40:39,919 Speaker 1: It's the ideas that they're giving you a chemical versus 763 00:40:39,960 --> 00:40:43,319 Speaker 1: a medication. Right, Oh, it's up to you and your 764 00:40:43,360 --> 00:40:45,839 Speaker 1: provider to sort of figure out like which one would 765 00:40:45,840 --> 00:40:48,960 Speaker 1: be good, and then people can self order and then 766 00:40:49,000 --> 00:40:52,439 Speaker 1: they can you know, start as self administering at home. 767 00:40:52,840 --> 00:40:54,120 Speaker 5: Really, what was that? 768 00:40:54,200 --> 00:40:57,080 Speaker 2: What do they not need a script from a licensed 769 00:40:57,080 --> 00:41:00,440 Speaker 2: practitioner like yourself? Are so in the sty it's I 770 00:41:00,560 --> 00:41:03,480 Speaker 2: could just go to one of these places and I 771 00:41:03,520 --> 00:41:09,680 Speaker 2: could get myself testamorial in our memoral in are really. 772 00:41:10,000 --> 00:41:12,680 Speaker 1: There's maybe not testamoral. And there's a few peptides that 773 00:41:13,440 --> 00:41:15,280 Speaker 1: I mean maybe it depends. I got to look. Actually 774 00:41:15,480 --> 00:41:17,520 Speaker 1: I don't do that one too much. But some of 775 00:41:17,560 --> 00:41:19,200 Speaker 1: the semi glue tides, you know. 776 00:41:19,480 --> 00:41:23,000 Speaker 6: Are Yeah, the regulation is little weird on some of them, 777 00:41:23,120 --> 00:41:25,880 Speaker 6: you know, Right, Okay, So there's certain teptides that are 778 00:41:25,880 --> 00:41:30,120 Speaker 6: harder to find, but most people order online from American. 779 00:41:31,120 --> 00:41:36,000 Speaker 2: And I believe there's no gray markets and black markets, right, 780 00:41:36,120 --> 00:41:40,160 Speaker 2: and that you can buy stuff that's labeled for research 781 00:41:40,239 --> 00:41:41,160 Speaker 2: purposes only. 782 00:41:41,320 --> 00:41:45,120 Speaker 1: Yes, that's it's m right. 783 00:41:45,400 --> 00:41:50,240 Speaker 2: Wow, JESU, that's interesting over there. Right, let's talk. 784 00:41:50,080 --> 00:41:53,399 Speaker 5: About amino acids. I had either lady. 785 00:41:53,160 --> 00:41:55,880 Speaker 2: On here, she's a pharmacist to specialize in amino acids, 786 00:41:55,920 --> 00:41:57,680 Speaker 2: and it kind of blew my mind. And she does 787 00:41:57,719 --> 00:42:00,560 Speaker 2: a lot of amino acid testing. So talk to us 788 00:42:00,600 --> 00:42:06,200 Speaker 2: about the importance of it and whether you know, to 789 00:42:07,239 --> 00:42:10,040 Speaker 2: some testing and balancing and if people's amino acids are 790 00:42:10,040 --> 00:42:12,360 Speaker 2: out of whack, what can go on? Just give people 791 00:42:12,440 --> 00:42:15,880 Speaker 2: that kind of three minute overview on all things amino 792 00:42:15,880 --> 00:42:18,360 Speaker 2: acid gives the crash course the crash coss. 793 00:42:18,400 --> 00:42:21,160 Speaker 1: So I love amino acids. They're your precursors and your 794 00:42:21,200 --> 00:42:25,240 Speaker 1: building blocks to making your neurotransmitters aka you're happy chemicals. 795 00:42:25,640 --> 00:42:30,000 Speaker 1: And so we normally get these from the proteins we eat, 796 00:42:30,040 --> 00:42:32,120 Speaker 1: and not like your protein turns into them, but like 797 00:42:32,200 --> 00:42:35,399 Speaker 1: you eat something, your body breaks it down and then 798 00:42:35,680 --> 00:42:38,760 Speaker 1: those little broken pieces, the amino acids, they get funneled 799 00:42:38,760 --> 00:42:41,480 Speaker 1: into different sites and then your body will kind of 800 00:42:41,560 --> 00:42:44,920 Speaker 1: make based on quantity. So that's why you can't just 801 00:42:44,920 --> 00:42:47,360 Speaker 1: take a protein powder and be like, this will boost 802 00:42:47,360 --> 00:42:50,400 Speaker 1: my serotonin, because it won't. You have to specifically target 803 00:42:50,480 --> 00:42:54,680 Speaker 1: the aminos to hyperdrive that pathway. So sometimes it can 804 00:42:54,680 --> 00:42:57,200 Speaker 1: be confusing, Like sometimes people say, oh, I have OCD. 805 00:42:57,400 --> 00:43:00,480 Speaker 1: I know that's because I love serotonin. I'm sad and 806 00:43:00,480 --> 00:43:03,040 Speaker 1: I'm depressed, and that's a serotonin thing that may not 807 00:43:03,120 --> 00:43:06,120 Speaker 1: be true. I've had a few people that had OCD, 808 00:43:06,239 --> 00:43:07,799 Speaker 1: but then when we tested them, we found that their 809 00:43:07,800 --> 00:43:11,520 Speaker 1: serratone levels were perfectly fine, actually sometimes even high, which 810 00:43:11,560 --> 00:43:14,000 Speaker 1: can present a social phobia in some people, and they 811 00:43:14,000 --> 00:43:18,120 Speaker 1: actually really needed dopamine to regulate that, and so for 812 00:43:18,200 --> 00:43:20,680 Speaker 1: them higher and dopeing for some people if you don't 813 00:43:20,719 --> 00:43:23,880 Speaker 1: need it will make you very anxious. So some I 814 00:43:23,960 --> 00:43:26,480 Speaker 1: find it's a little tough to go on to symptoms 815 00:43:26,480 --> 00:43:29,000 Speaker 1: of what you think is probably low. Sometimes it's better 816 00:43:29,080 --> 00:43:32,480 Speaker 1: to actually do some serum testing and see, okay, what 817 00:43:32,640 --> 00:43:35,000 Speaker 1: are what's where are they low? And for me, if 818 00:43:35,040 --> 00:43:37,920 Speaker 1: something's low in a test, it doesn't always mean you 819 00:43:37,960 --> 00:43:39,880 Speaker 1: just have to give them that. The questions will why 820 00:43:40,360 --> 00:43:42,600 Speaker 1: and the ratios are very important, you know. And then 821 00:43:42,640 --> 00:43:45,600 Speaker 1: so I usually use that test alongside other blood work 822 00:43:45,680 --> 00:43:47,719 Speaker 1: so I can get a sense of like, oh, hey, 823 00:43:47,760 --> 00:43:49,840 Speaker 1: all these amino acids are they haven't being made in 824 00:43:49,880 --> 00:43:51,600 Speaker 1: the kidney. How does your kidney off look? And then 825 00:43:51,600 --> 00:43:53,240 Speaker 1: we can kind of get a send for the money. 826 00:43:53,600 --> 00:43:56,080 Speaker 1: Are you low for a reason or or what you 827 00:43:56,120 --> 00:43:58,759 Speaker 1: know in terms of that, and is it if there's 828 00:43:58,800 --> 00:44:01,480 Speaker 1: any patterns. So that's when it's to me the most helpful. 829 00:44:02,239 --> 00:44:05,319 Speaker 2: So you're the body detective, because it isn't just a 830 00:44:05,320 --> 00:44:07,160 Speaker 2: matter of walking these things up. I mean we know 831 00:44:07,239 --> 00:44:11,960 Speaker 2: this from people with Parkinson's. L dopa is a pretty 832 00:44:11,960 --> 00:44:15,560 Speaker 2: effective medication at reducing their tremors and things like that. 833 00:44:15,719 --> 00:44:19,800 Speaker 2: But quite a few people on al dopa then develop 834 00:44:19,800 --> 00:44:24,320 Speaker 2: addictive behaviors, They develop addictive personalities. They all of a 835 00:44:24,360 --> 00:44:28,080 Speaker 2: sudden out of nowhere, start gambling or taking drugs, and 836 00:44:28,120 --> 00:44:30,319 Speaker 2: it's because of too much dopamine. 837 00:44:30,520 --> 00:44:34,080 Speaker 1: Right, So yeah, and so that's a great example of 838 00:44:34,280 --> 00:44:37,279 Speaker 1: where you know, someone might come in and they'll say 839 00:44:37,280 --> 00:44:41,440 Speaker 1: I have Parkinson's and I'll say, actually, it's parkinsonism until 840 00:44:41,480 --> 00:44:44,840 Speaker 1: we can confirm it's Parkinson's disease, because parkinsonism is not 841 00:44:45,400 --> 00:44:49,080 Speaker 1: just with Parkinson's disease, and for many people it's actually 842 00:44:49,360 --> 00:44:53,480 Speaker 1: pesticide and solvent overexposure and the nerves are basically toxic. 843 00:44:54,040 --> 00:44:56,520 Speaker 1: So if we can it's just like when you ever, 844 00:44:56,680 --> 00:44:59,120 Speaker 1: like you know, poison a rat, it starts to shake around. 845 00:44:59,280 --> 00:45:02,640 Speaker 1: It's very similar, very similar. So if we can detox, 846 00:45:02,840 --> 00:45:06,279 Speaker 1: if that's what it is, so then maybe the parkinsanism 847 00:45:06,320 --> 00:45:09,080 Speaker 1: will go away. So that it's a good It's a 848 00:45:09,080 --> 00:45:11,319 Speaker 1: great example of how we have to it's some part 849 00:45:11,320 --> 00:45:14,279 Speaker 1: to always look at the why and not just take 850 00:45:14,320 --> 00:45:16,399 Speaker 1: it at face value of like, oh it's genetic, that's 851 00:45:16,440 --> 00:45:19,839 Speaker 1: the worst. Like oh it's genetic, don't worry about genetics. 852 00:45:19,880 --> 00:45:22,200 Speaker 1: That's a right off term. Like we have control and 853 00:45:22,280 --> 00:45:25,120 Speaker 1: power to do something. Genetics is just a risk. It's 854 00:45:25,120 --> 00:45:26,359 Speaker 1: just risk identification. 855 00:45:26,440 --> 00:45:30,440 Speaker 2: That's it. Genetics loads the gun, environment pulls the trigger. Yeah, 856 00:45:30,760 --> 00:45:34,359 Speaker 2: it's that. It's that complicated interaction, isn't it. Let's come 857 00:45:34,400 --> 00:45:38,440 Speaker 2: back to the mental health issue, and let's talk about 858 00:45:38,960 --> 00:45:42,960 Speaker 2: de prescribing, right, So this is obviously a very sensitive issues. 859 00:45:43,080 --> 00:45:46,080 Speaker 2: What are some of the common misconceptions that you see 860 00:45:46,120 --> 00:45:50,839 Speaker 2: about deprescribing or tearpering off SSRIs or any of any 861 00:45:50,880 --> 00:45:52,920 Speaker 2: type of medication that people might be on. 862 00:45:53,400 --> 00:45:58,359 Speaker 1: I would say maybe one of them is that a bridge. Oh, 863 00:45:58,400 --> 00:46:01,640 Speaker 1: here's a bit one. So the z drugs, like the 864 00:46:01,680 --> 00:46:04,880 Speaker 1: sleep medications like Ambient, their tatent as being less addictive 865 00:46:04,920 --> 00:46:07,800 Speaker 1: than the benzos. I don't see that being the case. 866 00:46:08,400 --> 00:46:13,560 Speaker 1: Another one would be the bridgements are less addictive, like gabapentin. 867 00:46:13,719 --> 00:46:15,319 Speaker 1: I have some people that see me specifically to get 868 00:46:15,320 --> 00:46:18,560 Speaker 1: off gabapentin. For many people they are less addictive, but 869 00:46:18,680 --> 00:46:23,600 Speaker 1: not for everybody. I would also say a big misconception 870 00:46:23,800 --> 00:46:27,760 Speaker 1: would be that segments will cure a mental health condition. 871 00:46:27,960 --> 00:46:31,799 Speaker 1: Segments do not cure any mental health condition. They put 872 00:46:31,800 --> 00:46:33,759 Speaker 1: a pause on it. They will num you out to 873 00:46:33,800 --> 00:46:36,319 Speaker 1: it for a while, but there's no evidence that they 874 00:46:36,360 --> 00:46:39,120 Speaker 1: cure any psychetric or get a condition. 875 00:46:39,760 --> 00:46:43,719 Speaker 2: That's interesting. So let's with your average patient. Is is 876 00:46:43,760 --> 00:46:46,200 Speaker 2: there a go to Like you said that some people 877 00:46:46,239 --> 00:46:49,920 Speaker 2: come in and they're doing a lot, but do you 878 00:46:49,960 --> 00:46:54,920 Speaker 2: do your comprehensive screen when people come in bite all 879 00:46:54,920 --> 00:46:58,399 Speaker 2: of their diet, their stress, their sleep, their movement, those 880 00:46:58,440 --> 00:47:02,560 Speaker 2: sorts of things like is that how you start to 881 00:47:02,560 --> 00:47:05,759 Speaker 2: build up the picture and then get more of that 882 00:47:05,800 --> 00:47:09,719 Speaker 2: picture or or that informs the testing or is there 883 00:47:09,760 --> 00:47:14,400 Speaker 2: a blanket testing that you do for everybody regardless of 884 00:47:14,400 --> 00:47:15,600 Speaker 2: what they're presenting. 885 00:47:15,200 --> 00:47:17,920 Speaker 1: Was the first one. So I mean, well, bio residents, 886 00:47:17,960 --> 00:47:20,200 Speaker 1: I can pretty much do with everybody. But for most 887 00:47:20,280 --> 00:47:23,120 Speaker 1: people it's the what you first mentioned about getting a 888 00:47:23,360 --> 00:47:26,560 Speaker 1: really comprehensive screen and an idea of what's going on. 889 00:47:27,200 --> 00:47:29,200 Speaker 1: And that could be challenging because for a lot of 890 00:47:29,239 --> 00:47:31,800 Speaker 1: people that are trying to taper their second vacation or 891 00:47:31,840 --> 00:47:37,279 Speaker 1: having trouble, it's not uncommon for them to have disrupted sleep. 892 00:47:37,280 --> 00:47:40,680 Speaker 1: So the question is is that sleep because you're tapering 893 00:47:40,840 --> 00:47:43,320 Speaker 1: or did you always have that and it's worse now 894 00:47:43,400 --> 00:47:46,760 Speaker 1: because something inflammatory got triggered and now you're undernowing conditions 895 00:47:46,760 --> 00:47:50,040 Speaker 1: popping out or so trying to figure out, you know, 896 00:47:50,080 --> 00:47:52,279 Speaker 1: if we need to be you know, looking around for 897 00:47:52,320 --> 00:47:55,000 Speaker 1: other things at the same time, or if we do 898 00:47:55,080 --> 00:47:57,359 Speaker 1: need to, or some other labs to get a sense, 899 00:47:57,360 --> 00:48:00,880 Speaker 1: because everybody's Bobby compensates for metal cations in a different 900 00:48:00,920 --> 00:48:04,600 Speaker 1: way because like for example, with SSRIs, they are blocking 901 00:48:04,680 --> 00:48:08,239 Speaker 1: the reuptake of serotonin in the synapse, which means that 902 00:48:08,600 --> 00:48:12,040 Speaker 1: these receptor sites are kind of like, hey, we're hungry. Hello, 903 00:48:12,360 --> 00:48:14,880 Speaker 1: and the brain does it go Wow, what a great idea. 904 00:48:15,120 --> 00:48:18,319 Speaker 1: The brain goes, oh, those aren't working good, Let's make 905 00:48:18,719 --> 00:48:21,640 Speaker 1: more receptor sites. And that's what we call tolerance, where 906 00:48:21,640 --> 00:48:23,839 Speaker 1: people are like, oh, I need more, this isn't working enough. 907 00:48:24,200 --> 00:48:26,960 Speaker 1: So now we have a lot of novel hungry, very 908 00:48:27,000 --> 00:48:31,239 Speaker 1: sensitive receptor sites that are going to be very potentially 909 00:48:31,280 --> 00:48:35,040 Speaker 1: reactive to more serotonin, which can be excitatory, not just 910 00:48:35,080 --> 00:48:38,279 Speaker 1: in hiptory. So for a lot of people we do 911 00:48:38,440 --> 00:48:41,560 Speaker 1: see these kind of weird reactions that happen, and that 912 00:48:41,600 --> 00:48:44,560 Speaker 1: could happen for somebody else and maybe not a problem 913 00:48:44,719 --> 00:48:48,759 Speaker 1: for somebody else. They might their stress might go somewhere 914 00:48:48,960 --> 00:48:50,640 Speaker 1: somewhere else, so maybe it's more like, oh, it's a 915 00:48:50,680 --> 00:48:52,919 Speaker 1: thiroy that's taken a hit with that that kind of thing. 916 00:48:53,400 --> 00:48:56,600 Speaker 1: And then we got to be careful because sometimes maybe 917 00:48:56,680 --> 00:48:59,880 Speaker 1: we want to help alleviate a thiory condition, but they're tapering, 918 00:49:00,080 --> 00:49:01,239 Speaker 1: that might make their taper worse. 919 00:49:01,480 --> 00:49:03,600 Speaker 2: Yeah, yeah, yeah, interesting. 920 00:49:03,160 --> 00:49:05,440 Speaker 1: We have to be really careful about how we manage 921 00:49:05,600 --> 00:49:06,400 Speaker 1: everything at once. 922 00:49:07,080 --> 00:49:10,799 Speaker 2: Yeah, I can imagine it gets a very complicated picture, right, 923 00:49:10,840 --> 00:49:14,880 Speaker 2: and then quickly there is there is no medication. I 924 00:49:14,880 --> 00:49:16,919 Speaker 2: mean there's a lot of there's a lot of life 925 00:49:16,920 --> 00:49:19,760 Speaker 2: saving medications that are out there across the spectrum for 926 00:49:19,760 --> 00:49:23,720 Speaker 2: for everything, but there's not one single medication that doesn't 927 00:49:23,719 --> 00:49:26,480 Speaker 2: have a side effect. Right. That's what people need to 928 00:49:26,600 --> 00:49:31,120 Speaker 2: understand is if you change biology, you can't just very 929 00:49:31,400 --> 00:49:35,359 Speaker 2: targeted change one little bit of biology, because we are 930 00:49:35,400 --> 00:49:36,719 Speaker 2: a complex ecosystem. 931 00:49:37,080 --> 00:49:41,960 Speaker 1: Absolutely, And you know, the second generation I mean the 932 00:49:42,000 --> 00:49:47,800 Speaker 1: first two, but the second generation antipsychotics, they have fewer 933 00:49:47,920 --> 00:49:51,440 Speaker 1: extra pyramidal symptoms, but they are more known to cause 934 00:49:51,520 --> 00:49:55,239 Speaker 1: diabetes and metabot dysfunction. So what's really interesting to me 935 00:49:55,680 --> 00:49:58,560 Speaker 1: is that I just think it's like, if if a 936 00:49:58,640 --> 00:50:02,560 Speaker 1: drug does something really really well, like this regular blood sugar, 937 00:50:03,000 --> 00:50:07,120 Speaker 1: we should call the drug that thing, versus we call 938 00:50:07,200 --> 00:50:09,600 Speaker 1: it the side effects. But it's not the side of it. 939 00:50:09,600 --> 00:50:12,840 Speaker 1: It's actually the main effects. So but we're kind of 940 00:50:12,880 --> 00:50:14,960 Speaker 1: under this idea like no, no, like, But like I was 941 00:50:14,960 --> 00:50:17,439 Speaker 1: saying at the beginning, if it's very common it gets 942 00:50:17,440 --> 00:50:20,879 Speaker 1: sexual dysfunction with an SSRI, and it's not as common 943 00:50:20,920 --> 00:50:24,600 Speaker 1: for help with depression, then actually the relief of depression 944 00:50:24,640 --> 00:50:26,040 Speaker 1: to me is the side effect of the drug. 945 00:50:26,360 --> 00:50:30,480 Speaker 2: Interesting. Yeah, yeah, yeah, okay, so sorry we are running 946 00:50:30,480 --> 00:50:32,799 Speaker 2: out of Actually one other questions I did want to 947 00:50:32,840 --> 00:50:33,279 Speaker 2: ask you. 948 00:50:33,840 --> 00:50:35,719 Speaker 5: So, given that you tend. 949 00:50:35,480 --> 00:50:38,319 Speaker 2: To take a holistic view with your patients, and I'm 950 00:50:38,360 --> 00:50:42,919 Speaker 2: sure you walk the talk, how do you deal with it? Right? 951 00:50:42,920 --> 00:50:45,839 Speaker 2: So I'll preface this with with with myself. So when 952 00:50:45,880 --> 00:50:48,080 Speaker 2: I'm talking to people or I see people who I 953 00:50:48,200 --> 00:50:51,880 Speaker 2: know who have some sort of mood issues and I 954 00:50:52,040 --> 00:50:55,560 Speaker 2: know that their diet shit, I know they don't exercise, 955 00:50:56,040 --> 00:50:58,719 Speaker 2: I know they don't manage their stress. Well, i know 956 00:50:58,800 --> 00:51:01,000 Speaker 2: they've got to fucking team in their room and I'm 957 00:51:01,040 --> 00:51:04,080 Speaker 2: mobile phone in the room, and often I'll just bite 958 00:51:04,080 --> 00:51:07,440 Speaker 2: my lip and not say anything unless I'm invited to 959 00:51:07,600 --> 00:51:10,520 Speaker 2: ask how do you deal with that when you see 960 00:51:10,680 --> 00:51:14,360 Speaker 2: people around you doing things that you know you're fucking 961 00:51:14,400 --> 00:51:15,200 Speaker 2: yourself up here? 962 00:51:15,680 --> 00:51:18,279 Speaker 1: Because it's different, it's different when it's people you know 963 00:51:18,360 --> 00:51:21,719 Speaker 1: in love, like you go to medical school because you're like, 964 00:51:21,680 --> 00:51:24,480 Speaker 1: I'm asa save my family, and then you quickly learn 965 00:51:24,719 --> 00:51:26,719 Speaker 1: that you're like, nope, they're gonna do what they want 966 00:51:26,840 --> 00:51:29,600 Speaker 1: and that's that and that's it's hard, and you know, 967 00:51:29,680 --> 00:51:31,480 Speaker 1: so you kind of For me, I kind of got 968 00:51:31,480 --> 00:51:35,080 Speaker 1: to this level of like, Okay, there's acceptance and loving, 969 00:51:35,120 --> 00:51:39,840 Speaker 1: detachment and help when ask and all that stuff. 970 00:51:39,560 --> 00:51:39,719 Speaker 2: You know. 971 00:51:39,800 --> 00:51:42,160 Speaker 1: And my boyfriendon't mind me saying this, but my first 972 00:51:42,160 --> 00:51:44,799 Speaker 1: met him, he was drinking soda every single day and 973 00:51:45,400 --> 00:51:47,440 Speaker 1: I was like, you know, I said, look, I don't 974 00:51:47,440 --> 00:51:50,719 Speaker 1: want to go on judge, I love you, but this 975 00:51:50,760 --> 00:51:52,360 Speaker 1: is not a swarch for me to say this. A 976 00:51:52,520 --> 00:51:54,759 Speaker 1: soda is just as bad for your liver as a 977 00:51:54,800 --> 00:51:58,279 Speaker 1: cocktail like it. And when you heard that, he's like, 978 00:51:58,800 --> 00:52:00,640 Speaker 1: and then he sent me a video of him dumping 979 00:52:00,680 --> 00:52:02,560 Speaker 1: out his soda in the sink and he's like, I'll stop, 980 00:52:02,640 --> 00:52:06,279 Speaker 1: and I was like, thank you. Like it's like my 981 00:52:06,320 --> 00:52:09,040 Speaker 1: whole life, you know, it's just everything I do is 982 00:52:09,080 --> 00:52:12,160 Speaker 1: just health related, you know, and obviously not perfect. I 983 00:52:12,239 --> 00:52:14,160 Speaker 1: have all my vices and things I still do too, 984 00:52:14,760 --> 00:52:17,440 Speaker 1: but oh man, and that's I guess the hard part 985 00:52:17,440 --> 00:52:19,920 Speaker 1: of any relationship is like you don't want to like 986 00:52:20,000 --> 00:52:22,480 Speaker 1: see their mess but ignore yours, you know. And that's 987 00:52:22,480 --> 00:52:25,120 Speaker 1: why I'm trying to learn a little bit about that 988 00:52:25,200 --> 00:52:27,600 Speaker 1: because he'll be like, I'm gonna cheat this if we're 989 00:52:27,600 --> 00:52:29,799 Speaker 1: gonna have this treat, and I'm like, for sure, you know. 990 00:52:29,920 --> 00:52:33,440 Speaker 1: So it's hard. It's hard, and I swear it's like 991 00:52:34,080 --> 00:52:36,600 Speaker 1: it's it's very rare. I don't know why, but like 992 00:52:36,640 --> 00:52:40,360 Speaker 1: it's very rare for my male patients to bring in 993 00:52:40,440 --> 00:52:44,320 Speaker 1: their girlfriends or wives. It's very common for my female 994 00:52:44,320 --> 00:52:48,719 Speaker 1: patients to bring in their husbands or boyfriends. Interesting, I know, 995 00:52:49,160 --> 00:52:51,319 Speaker 1: I know, because they're like, can you please you know, 996 00:52:51,520 --> 00:52:53,680 Speaker 1: and yeah, yeah. 997 00:52:53,600 --> 00:52:55,560 Speaker 2: Yeah, yeah, I get I get where this is going. 998 00:52:55,760 --> 00:52:59,600 Speaker 2: Yeah okay, So where can people fight? So you do 999 00:52:59,840 --> 00:53:04,959 Speaker 2: you do telehealth? Right, so presumably people from who don't 1000 00:53:05,000 --> 00:53:08,320 Speaker 2: live in Las Vegas can can actually access your stuff? 1001 00:53:08,320 --> 00:53:11,080 Speaker 2: So where can people find out more about what you 1002 00:53:11,120 --> 00:53:14,160 Speaker 2: do and maybe a veal of your services and then 1003 00:53:14,239 --> 00:53:16,359 Speaker 2: you know, give us all the social media stuff where 1004 00:53:16,360 --> 00:53:18,520 Speaker 2: people can actually go and find out a little bit more. 1005 00:53:19,200 --> 00:53:22,560 Speaker 1: So people can find me through my website, doctor Juliabrits 1006 00:53:22,600 --> 00:53:25,520 Speaker 1: dot com They can also find me on Instagram at 1007 00:53:25,560 --> 00:53:29,319 Speaker 1: doctor Julia Britz nd is my handle. Those are my 1008 00:53:29,400 --> 00:53:32,200 Speaker 1: two most successible places, and I have email that you 1009 00:53:32,200 --> 00:53:34,040 Speaker 1: can find through that as well. But I also do 1010 00:53:34,120 --> 00:53:36,000 Speaker 1: q and as on Instagram once in a while people 1011 00:53:36,040 --> 00:53:38,560 Speaker 1: those kind of questions, and I have a couple of 1012 00:53:38,680 --> 00:53:41,840 Speaker 1: videos I've posted on my website about bio residents. Just 1013 00:53:41,840 --> 00:53:43,520 Speaker 1: account if you want to geek out more, you know, 1014 00:53:43,600 --> 00:53:44,160 Speaker 1: more about it. 1015 00:53:44,440 --> 00:53:46,640 Speaker 2: Yeah, I'll Actually I'm going to go and have a 1016 00:53:46,640 --> 00:53:49,200 Speaker 2: look at this because it signs quite intriguing. 1017 00:53:49,480 --> 00:53:50,600 Speaker 5: Juliat, that's been awesome. 1018 00:53:50,719 --> 00:53:54,880 Speaker 2: Thank you for your time and for sharing your knowledge. 1019 00:53:54,480 --> 00:53:58,040 Speaker 5: With people, and have a great day evening. 1020 00:53:58,080 --> 00:53:58,799 Speaker 1: Thanks ver much. 1021 00:53:58,880 --> 00:54:00,640 Speaker 5: It's been a lass Cope.