1 00:00:00,200 --> 00:00:03,480 Speaker 1: Now here's a highlight from Coast to Coast AM on 2 00:00:03,600 --> 00:00:07,000 Speaker 1: iHeartRadio and welcome back to Coast to Coast doctor Matt 3 00:00:07,080 --> 00:00:11,560 Speaker 1: McCarthy with us. Of course, we're talking about his latest work, Superbugs. Matt, 4 00:00:11,600 --> 00:00:14,280 Speaker 1: you were talking about how some pharmaceutical companies are a 5 00:00:14,320 --> 00:00:18,880 Speaker 1: little hesitant and trying to develop further any antibiotics. If 6 00:00:18,920 --> 00:00:23,960 Speaker 1: that's the case, what happens do these superbugs run rampant? Well, 7 00:00:23,960 --> 00:00:27,160 Speaker 1: this is the most important medical issue that no one 8 00:00:27,280 --> 00:00:31,120 Speaker 1: is talking about. We have relied on the pharmaceutical industry 9 00:00:31,160 --> 00:00:34,879 Speaker 1: for the past seventy five years to make antibiotics, and 10 00:00:35,000 --> 00:00:39,480 Speaker 1: they have recently decided collectively that they're not making enough 11 00:00:39,520 --> 00:00:41,960 Speaker 1: money off of these drugs and are choosing to do 12 00:00:42,040 --> 00:00:45,320 Speaker 1: other things. And I'll tell you why. Imagine a blood 13 00:00:45,320 --> 00:00:48,040 Speaker 1: pressure drug. A doctor prescribes it to a patient and says, 14 00:00:48,120 --> 00:00:50,040 Speaker 1: take it every day for the rest of your life. 15 00:00:50,440 --> 00:00:53,680 Speaker 1: That's a good business model. Think about an antibiotic. They're 16 00:00:53,680 --> 00:00:57,480 Speaker 1: only prescribed in short courses. Doctors are stingy about doling 17 00:00:57,480 --> 00:01:00,320 Speaker 1: them out, and even the best new drug eventually wears 18 00:01:00,320 --> 00:01:03,320 Speaker 1: itself out when the bacterium you take. So it's a 19 00:01:03,360 --> 00:01:07,680 Speaker 1: really spin profit margin for a pharmaceutical company, and increasingly 20 00:01:07,720 --> 00:01:10,479 Speaker 1: they're saying, you know what, the money's just not there. 21 00:01:10,640 --> 00:01:13,560 Speaker 1: It's too risky. It takes about a billion dollars and 22 00:01:13,720 --> 00:01:17,280 Speaker 1: ten years of studies to bring any new discovery from 23 00:01:17,280 --> 00:01:20,039 Speaker 1: the laboratory to patients. We're not going to do it. 24 00:01:20,560 --> 00:01:23,000 Speaker 1: And one of the most important political issues that no 25 00:01:23,000 --> 00:01:25,880 Speaker 1: one's talking about are there are a number of proposals 26 00:01:25,920 --> 00:01:29,200 Speaker 1: on the table to entice these pharmaceutical companies to start 27 00:01:29,240 --> 00:01:32,160 Speaker 1: making the antibiotics again. And that's what I wanted to 28 00:01:32,200 --> 00:01:34,840 Speaker 1: get readers to understand, is that you're going to be 29 00:01:34,920 --> 00:01:39,200 Speaker 1: hearing politicians come forward with proposals to sweeten the deal 30 00:01:39,240 --> 00:01:42,160 Speaker 1: for pharmaceutical companies. And I want people to know what's 31 00:01:42,160 --> 00:01:45,440 Speaker 1: a good idea and what's a bad idea. In your career, 32 00:01:45,520 --> 00:01:47,960 Speaker 1: what has been one of the worst infections you've had 33 00:01:48,000 --> 00:01:52,520 Speaker 1: to deal with because you're an infectious disease specialist. Yes, yes, Well, 34 00:01:52,640 --> 00:01:55,880 Speaker 1: the one that they tell you to never google, and 35 00:01:55,920 --> 00:01:59,760 Speaker 1: so I'll give you that warning is something called Fornier 36 00:02:00,240 --> 00:02:05,000 Speaker 1: gang green fo U R n I E. R. Fournier's 37 00:02:05,480 --> 00:02:10,920 Speaker 1: gang green, which is a flesh eating infection of the 38 00:02:10,960 --> 00:02:15,959 Speaker 1: scrotum or of the groin area. I typically see that. No, 39 00:02:16,160 --> 00:02:20,720 Speaker 1: don't google that. Yeah, don't trust me, but it's um 40 00:02:20,880 --> 00:02:23,920 Speaker 1: you know, a patient who has poorly controlled diabetes, which 41 00:02:23,919 --> 00:02:27,320 Speaker 1: can weaken your immune system. Somebody may try to pop 42 00:02:27,360 --> 00:02:30,480 Speaker 1: a ZiT or pop a pimple in the in the 43 00:02:30,600 --> 00:02:34,400 Speaker 1: groin area, and it allows the bacteria to get under 44 00:02:34,440 --> 00:02:38,120 Speaker 1: the skin and it rapidly spreads, and it can be 45 00:02:38,160 --> 00:02:41,600 Speaker 1: something that can only be cured not with antibiotics but 46 00:02:41,639 --> 00:02:44,080 Speaker 1: with actually with surgery. Oh my god. One of the 47 00:02:44,120 --> 00:02:47,000 Speaker 1: most distressing things you can see as a clinician and 48 00:02:47,080 --> 00:02:53,440 Speaker 1: as a patient. It's it's just the shocking um no, no. 49 00:02:53,480 --> 00:02:55,440 Speaker 1: And that's why it's so important for us to have new, 50 00:02:55,600 --> 00:02:58,440 Speaker 1: you know, new treatment options available because I spend my days. 51 00:02:58,480 --> 00:03:00,760 Speaker 1: I wake up, I walk in the hospital, and the 52 00:03:00,760 --> 00:03:02,520 Speaker 1: first thing I do is I see patients who are 53 00:03:02,520 --> 00:03:05,200 Speaker 1: suffering from infections. So this is what I spend my 54 00:03:05,240 --> 00:03:06,800 Speaker 1: time thinking about, how are we going to do a 55 00:03:06,800 --> 00:03:09,480 Speaker 1: better job with these patients. Well, we take calls next 56 00:03:09,480 --> 00:03:13,360 Speaker 1: hour with Matt McCarthy one. You will take your questions, obviously, 57 00:03:13,520 --> 00:03:17,960 Speaker 1: but if you have had some kind of infection, jump 58 00:03:18,000 --> 00:03:20,680 Speaker 1: aboard and let's talk about it. Don't be sure either, 59 00:03:20,880 --> 00:03:25,000 Speaker 1: we'll get some thoughts on that. Do they experiment on 60 00:03:25,120 --> 00:03:31,440 Speaker 1: people with these new formulas? Yes? You know what I 61 00:03:31,760 --> 00:03:34,880 Speaker 1: spend my time doing as a researcher is I do 62 00:03:35,080 --> 00:03:39,720 Speaker 1: human experimentation. That I will take a drug that was 63 00:03:39,800 --> 00:03:43,960 Speaker 1: discovered in a laboratory somewhere or found in the soil somewhere, 64 00:03:44,680 --> 00:03:48,120 Speaker 1: and I will bring it into my hospital and I'll 65 00:03:48,120 --> 00:03:51,840 Speaker 1: study it. And what I've really enjoyed writing about in 66 00:03:51,880 --> 00:03:55,240 Speaker 1: my book is what it's like to try to do 67 00:03:55,280 --> 00:03:58,080 Speaker 1: an experiment on a human being. And we have a 68 00:03:58,160 --> 00:04:01,360 Speaker 1: number of safeguards in place to make sure that patients 69 00:04:01,360 --> 00:04:03,960 Speaker 1: are protected and that a guy like me can't walk 70 00:04:04,000 --> 00:04:07,080 Speaker 1: into the hospital with a dangerous drug. We have something 71 00:04:07,120 --> 00:04:11,840 Speaker 1: called an Institutional Review Board an IRB that reviews any 72 00:04:11,880 --> 00:04:16,360 Speaker 1: proposal for a study. Before anyone can do an experiment 73 00:04:16,440 --> 00:04:18,760 Speaker 1: on you, it has to be approved by an IRB. 74 00:04:19,240 --> 00:04:21,920 Speaker 1: And then if a doctor walks up to you and says, hey, 75 00:04:21,960 --> 00:04:24,120 Speaker 1: I've got this new clinical trial, you might be a 76 00:04:24,680 --> 00:04:27,359 Speaker 1: candidate for it. You don't have to join that. You 77 00:04:27,400 --> 00:04:29,920 Speaker 1: can just say no, thank you, and many patients do, 78 00:04:30,400 --> 00:04:34,440 Speaker 1: but some are interested or intrigued. And when it comes 79 00:04:34,440 --> 00:04:38,880 Speaker 1: to clinical research, we're eager to get more volunteers, and 80 00:04:39,040 --> 00:04:41,640 Speaker 1: people will get paid a little bit for their participation. 81 00:04:41,760 --> 00:04:44,279 Speaker 1: And that's a big part of how we bring drugs 82 00:04:44,279 --> 00:04:46,400 Speaker 1: to market, as we have to test them on humans 83 00:04:46,400 --> 00:04:48,479 Speaker 1: to make sure they're safe, and I assume these people 84 00:04:48,560 --> 00:04:52,200 Speaker 1: sign off on that in case something goes awry. Yes, 85 00:04:52,440 --> 00:04:55,640 Speaker 1: there's a lot of paperwork to be done for this, 86 00:04:56,480 --> 00:04:59,679 Speaker 1: but this is the essence of how the FDA approves drugs. 87 00:05:00,080 --> 00:05:03,760 Speaker 1: Is we test them on in a test tube, and 88 00:05:03,800 --> 00:05:05,920 Speaker 1: then we test them on animals, and then we test 89 00:05:05,920 --> 00:05:09,400 Speaker 1: them on healthy human volunteers, and then lastly we test 90 00:05:09,440 --> 00:05:11,960 Speaker 1: them on patients who have the infection that we're studying, 91 00:05:12,360 --> 00:05:15,279 Speaker 1: and if all of that goes well, it can be approved. 92 00:05:15,520 --> 00:05:18,080 Speaker 1: The drug can be approved by the FDA. But that takes, 93 00:05:18,400 --> 00:05:21,440 Speaker 1: as I said, close to a billion dollars done, and 94 00:05:21,800 --> 00:05:23,960 Speaker 1: companies don't want to risk it. They want to do 95 00:05:24,160 --> 00:05:26,720 Speaker 1: a botox or a blood pressure medication where they can 96 00:05:26,760 --> 00:05:29,640 Speaker 1: make more money. I've always been a believer in natural 97 00:05:29,680 --> 00:05:32,640 Speaker 1: things if you can do it first, and I think 98 00:05:32,680 --> 00:05:36,719 Speaker 1: that this planet has an incredible ability to create its 99 00:05:36,800 --> 00:05:44,360 Speaker 1: own antidotes for things on the planet, and I mean 100 00:05:44,400 --> 00:05:47,320 Speaker 1: things like apple, cider, vinegar, they're good for infections and 101 00:05:47,400 --> 00:05:51,040 Speaker 1: things like that. What do you think of just going natural? Well, 102 00:05:51,320 --> 00:05:53,840 Speaker 1: this is one of the coolest parts of doing the 103 00:05:53,920 --> 00:05:56,640 Speaker 1: kind of work that I do is we are always 104 00:05:56,680 --> 00:05:59,880 Speaker 1: looking for new cures for infections, and a place that 105 00:06:00,040 --> 00:06:03,359 Speaker 1: we're finding them is actually in the soil beneath our feet. 106 00:06:04,000 --> 00:06:08,599 Speaker 1: And it turns out that bacteria in the soil are 107 00:06:08,680 --> 00:06:13,000 Speaker 1: engaged in this molecular warfare where they are all producing 108 00:06:13,040 --> 00:06:16,440 Speaker 1: these chemicals that they shoot out into the environment trying 109 00:06:16,480 --> 00:06:19,000 Speaker 1: to kill all of the bacteria that are around them. 110 00:06:19,560 --> 00:06:23,480 Speaker 1: And if we can harness those chemicals bacteria trying to 111 00:06:23,560 --> 00:06:27,279 Speaker 1: kill other bacteria, that's exactly right. They're fighting each other, 112 00:06:27,360 --> 00:06:29,800 Speaker 1: and the way they do it is they secrete chemicals, 113 00:06:30,360 --> 00:06:33,240 Speaker 1: and if we can find those chemicals, we can turn 114 00:06:33,279 --> 00:06:35,880 Speaker 1: them into medicines. And that's actually what a lot of 115 00:06:35,920 --> 00:06:38,760 Speaker 1: scientists are trying to do now. They're sifting through the 116 00:06:38,800 --> 00:06:42,440 Speaker 1: haystack of soil looking for new drugs that we can 117 00:06:42,600 --> 00:06:46,080 Speaker 1: use to cure infections. And part of the next twenty 118 00:06:46,080 --> 00:06:48,800 Speaker 1: five years of science is going to be figuring out 119 00:06:48,839 --> 00:06:51,919 Speaker 1: how to use artificial intelligence and big data so that 120 00:06:51,960 --> 00:06:54,039 Speaker 1: people don't have to sift through the soil and we 121 00:06:54,040 --> 00:06:56,880 Speaker 1: can just go into the haystack and pull out that medication, 122 00:06:57,680 --> 00:06:59,800 Speaker 1: and that's going to be the big challenge of medicine 123 00:06:59,839 --> 00:07:03,040 Speaker 1: move forward. Are they successful in finding some of these 124 00:07:03,240 --> 00:07:07,960 Speaker 1: possible abilities? Yeah, And you know that's where our first antibiotic, penicillin, 125 00:07:08,640 --> 00:07:11,440 Speaker 1: Where that came from, is there was a fungus that 126 00:07:11,600 --> 00:07:14,480 Speaker 1: was just pumping out penicillin trying to kill the bacteria 127 00:07:14,560 --> 00:07:17,600 Speaker 1: in its environment. And we've got scientists now who are 128 00:07:17,680 --> 00:07:20,960 Speaker 1: very good at finding these new chemicals. The problem is 129 00:07:21,000 --> 00:07:24,280 Speaker 1: when they find it, they need a pharmaceutical partner to 130 00:07:24,400 --> 00:07:27,680 Speaker 1: help bring that to market, and they're having trouble finding 131 00:07:27,760 --> 00:07:30,400 Speaker 1: companies that are willing to spend the money to do 132 00:07:30,520 --> 00:07:34,000 Speaker 1: the clinical trials on animals and in humans to bring 133 00:07:34,040 --> 00:07:37,120 Speaker 1: that incredible discovery to the patients who need it most. 134 00:07:38,360 --> 00:07:41,200 Speaker 1: You had written a piece called why does the flu 135 00:07:41,360 --> 00:07:47,320 Speaker 1: vaccine suck? This year? To put it bluntly, I have 136 00:07:47,760 --> 00:07:50,160 Speaker 1: not gotten a flu vaccine in god, I don't know 137 00:07:50,200 --> 00:07:53,640 Speaker 1: how long. I can't remember, and I haven't gotten the flu. 138 00:07:53,800 --> 00:07:59,200 Speaker 1: Knock on wood. What do you think of the vaccines? Well, well, 139 00:07:59,440 --> 00:08:02,480 Speaker 1: this is a one of those conversations where every every 140 00:08:02,520 --> 00:08:04,679 Speaker 1: time I talk about vaccines with somebody. It's a little 141 00:08:04,680 --> 00:08:09,080 Speaker 1: bit different. When a patient says to me, doctor McCarthy, 142 00:08:09,080 --> 00:08:11,960 Speaker 1: what do you think of vaccines? I typically say to them, 143 00:08:12,000 --> 00:08:15,760 Speaker 1: what do you think of vaccines? And that opens a 144 00:08:15,840 --> 00:08:19,840 Speaker 1: dialogue with people. But the piece that I wrote was 145 00:08:19,880 --> 00:08:22,480 Speaker 1: about how every year for the flu vaccine, we have 146 00:08:22,600 --> 00:08:27,120 Speaker 1: to guess what's the which of the different stereotypes we're 147 00:08:27,160 --> 00:08:29,680 Speaker 1: going to put in our vaccine, and sometimes we guessed wrong. 148 00:08:30,320 --> 00:08:33,199 Speaker 1: And that year I wrote about how we guessed wrong 149 00:08:33,360 --> 00:08:38,280 Speaker 1: and we made a pretty weak influenza vaccine. It still worked, 150 00:08:38,320 --> 00:08:42,160 Speaker 1: but not as well as we would like. I am 151 00:08:42,200 --> 00:08:46,360 Speaker 1: somebody who subscribes to the belief that antibiot that vaccines work. 152 00:08:46,920 --> 00:08:49,800 Speaker 1: And the problem I'm seeing where I practice in New 153 00:08:49,880 --> 00:08:52,480 Speaker 1: York is we have this measles outbreak where we have 154 00:08:52,600 --> 00:08:56,440 Speaker 1: nearly a thousand cases of measles, and it's because people 155 00:08:56,440 --> 00:08:59,840 Speaker 1: aren't getting vaccinated. And what I've found is that there 156 00:08:59,840 --> 00:09:04,079 Speaker 1: are two groups of people who aren't vaccinating. There are 157 00:09:04,080 --> 00:09:07,920 Speaker 1: the anti vaccers, which are a well described group, but 158 00:09:08,000 --> 00:09:11,120 Speaker 1: there's also a group of people who say, I believe 159 00:09:11,200 --> 00:09:13,480 Speaker 1: the vaccine works, I just don't want to give it 160 00:09:13,520 --> 00:09:16,280 Speaker 1: to my kid. And that's a group that hasn't been 161 00:09:16,320 --> 00:09:18,679 Speaker 1: talked about very much. They say, we believe it's safe, 162 00:09:18,720 --> 00:09:21,559 Speaker 1: we believe it works, just not for my kid, and 163 00:09:21,640 --> 00:09:24,680 Speaker 1: we haven't figured out a way to convey to these 164 00:09:24,720 --> 00:09:27,959 Speaker 1: patients of these parents that it's a potentially dangerous thing 165 00:09:28,000 --> 00:09:30,839 Speaker 1: to expose your kid the measles. And let me ask 166 00:09:30,880 --> 00:09:34,239 Speaker 1: you this too, math because the parents who are pro vaccine, 167 00:09:34,520 --> 00:09:37,960 Speaker 1: and everybody's entitled to their own views, but the parents 168 00:09:38,000 --> 00:09:42,319 Speaker 1: that are pro vaccine go ballistic if their child is 169 00:09:42,360 --> 00:09:46,520 Speaker 1: around the kid who hasn't been vaccinated. My question is, medically, 170 00:09:47,080 --> 00:09:50,200 Speaker 1: if your kid has been vaccinated, why do you care 171 00:09:50,240 --> 00:09:54,120 Speaker 1: who's ease with because he should be immune? Right, Yes, 172 00:09:54,280 --> 00:09:57,599 Speaker 1: if your kid has been vaccinated, then your kid's immune. 173 00:09:58,080 --> 00:10:01,480 Speaker 1: There's a concept called herd community, which is that if 174 00:10:01,520 --> 00:10:05,400 Speaker 1: everyone's vaccinated, the disease goes away and we've lost this 175 00:10:05,480 --> 00:10:08,160 Speaker 1: herd immunity, And so I think people get really worked 176 00:10:08,240 --> 00:10:10,839 Speaker 1: up about this. The other group that I see getting 177 00:10:10,880 --> 00:10:13,840 Speaker 1: really worked up are people who have babies who are 178 00:10:13,920 --> 00:10:16,000 Speaker 1: less than twelve months old, so they haven't been able 179 00:10:16,040 --> 00:10:18,960 Speaker 1: to vaccinate their baby yet because it's so young, and 180 00:10:19,000 --> 00:10:21,960 Speaker 1: they get militant about it. There's no other way to 181 00:10:21,960 --> 00:10:25,240 Speaker 1: describe it. You know, the work that I do is 182 00:10:25,320 --> 00:10:30,000 Speaker 1: largely with antibiotics and not with vaccines, so I'm usually 183 00:10:30,040 --> 00:10:33,400 Speaker 1: coming in trying to figure out how do I treat 184 00:10:33,440 --> 00:10:36,600 Speaker 1: the infection after it's already occurred, and the vaccines are 185 00:10:36,679 --> 00:10:40,440 Speaker 1: much more effective for preventing the infections. But you know, 186 00:10:40,440 --> 00:10:43,160 Speaker 1: this is a contentious topic, and you're right. I've written 187 00:10:43,160 --> 00:10:46,440 Speaker 1: about how sometimes the vaccines that we try to design 188 00:10:46,559 --> 00:10:48,160 Speaker 1: aren't as good as we would like them to be. 189 00:10:48,960 --> 00:10:53,040 Speaker 1: You're on the New York Presbyterian Hospital Ethics Committee. What 190 00:10:53,320 --> 00:10:57,440 Speaker 1: do you folks look at? Oh, this is one of 191 00:10:57,440 --> 00:11:00,960 Speaker 1: the most fascinating jobs you could possibly have, which is 192 00:11:01,720 --> 00:11:05,600 Speaker 1: that when doctors find that they're doing something that they 193 00:11:05,640 --> 00:11:09,079 Speaker 1: don't feel comfortable with, or a patient thinks something is 194 00:11:09,120 --> 00:11:12,640 Speaker 1: happening that doesn't seem right, they can ask an ethicist 195 00:11:12,720 --> 00:11:16,240 Speaker 1: like me to come in and to produce a judgment 196 00:11:16,559 --> 00:11:21,000 Speaker 1: of what's right and what's wrong. And what's fascinating about 197 00:11:21,040 --> 00:11:25,120 Speaker 1: that is that it's not always what's legal. So there, 198 00:11:25,240 --> 00:11:27,280 Speaker 1: you know, there are times where I'll say, well, legally 199 00:11:27,320 --> 00:11:29,280 Speaker 1: you're allowed to do this, they say, They would say 200 00:11:29,280 --> 00:11:32,280 Speaker 1: to me, I'm not asking you for a legal opinion. 201 00:11:32,360 --> 00:11:35,120 Speaker 1: I'm asking you for an ethical opinion, and I'll give 202 00:11:35,160 --> 00:11:36,960 Speaker 1: you an example of it, and let me ask you Andy, 203 00:11:37,040 --> 00:11:40,040 Speaker 1: I'll due respect here, I mean, I mean nothing derogatory. 204 00:11:40,120 --> 00:11:43,320 Speaker 1: But are you playing God when you do this? Well, 205 00:11:43,360 --> 00:11:45,160 Speaker 1: I'll give you an example and I'll let you decide. 206 00:11:45,200 --> 00:11:49,920 Speaker 1: A twelve year old boy has liver cancer and he 207 00:11:49,960 --> 00:11:52,880 Speaker 1: needs to have his tumor removed, and the parents say, 208 00:11:53,160 --> 00:11:55,760 Speaker 1: we don't want the tumor removed, we want to pray 209 00:11:55,840 --> 00:12:00,160 Speaker 1: the tumor away. What should happen in the third and 210 00:12:00,240 --> 00:12:02,880 Speaker 1: says I can cure this, but I need to operate 211 00:12:02,920 --> 00:12:06,640 Speaker 1: on this child, And the family says no. They turn 212 00:12:06,720 --> 00:12:08,720 Speaker 1: to an ethicist and say, what do we do here? 213 00:12:09,120 --> 00:12:12,360 Speaker 1: And what you have to take into account are all 214 00:12:12,480 --> 00:12:16,599 Speaker 1: kinds of you know, value judgments and legal precedents and 215 00:12:17,160 --> 00:12:19,720 Speaker 1: trying to figure out what's a solution that's in the 216 00:12:19,720 --> 00:12:22,640 Speaker 1: best interest of the child, but also you know, respects 217 00:12:22,679 --> 00:12:25,480 Speaker 1: the religious views of the family, make sure that the 218 00:12:25,520 --> 00:12:27,920 Speaker 1: surgeon is doing what's right. And sometimes, yeah, you feel 219 00:12:27,960 --> 00:12:31,400 Speaker 1: like you're playing God. It's a really important and powerful 220 00:12:31,440 --> 00:12:33,960 Speaker 1: position to be in. See the position I would have taken, 221 00:12:34,200 --> 00:12:39,320 Speaker 1: I would have prayed that the operation went, well, yes, exactly, 222 00:12:39,760 --> 00:12:41,960 Speaker 1: You're exactly right. We got a seat for you on 223 00:12:42,000 --> 00:12:45,960 Speaker 1: the Ethics Committee. Absolutely. I mean, I think a blend 224 00:12:46,559 --> 00:12:53,120 Speaker 1: of mainstream medicine and prayer, in pharmacy, in you know, 225 00:12:53,280 --> 00:12:57,000 Speaker 1: natural supplements, a combination of them probably is the best 226 00:12:57,040 --> 00:12:59,440 Speaker 1: way to do something. I think you're probably right, and 227 00:12:59,480 --> 00:13:02,000 Speaker 1: I'll tell you pray with patients. I talk to them 228 00:13:02,040 --> 00:13:05,640 Speaker 1: about supplements, I talk to them about mainstream medicine. Clearly 229 00:13:05,679 --> 00:13:07,800 Speaker 1: not you know, we don't have all the answers, and 230 00:13:07,880 --> 00:13:10,520 Speaker 1: I think that it's good to have a blend of approaches. 231 00:13:10,760 --> 00:13:13,320 Speaker 1: This statistic I had before you came on, that twenty 232 00:13:13,360 --> 00:13:17,640 Speaker 1: three thousand people die each year from antibiotic resistant infections. 233 00:13:17,760 --> 00:13:20,480 Speaker 1: Is that number going to go up or down? That 234 00:13:20,600 --> 00:13:24,760 Speaker 1: number is going to skyrocket. In fact, the prediction from 235 00:13:24,760 --> 00:13:28,439 Speaker 1: the World Health Organization is that by twenty fifty it's 236 00:13:28,480 --> 00:13:31,960 Speaker 1: going to be ten million people worldwide every year dying 237 00:13:32,000 --> 00:13:35,800 Speaker 1: from superbugs worldwide, and yes, worldwide, and it's going to 238 00:13:35,840 --> 00:13:39,640 Speaker 1: be a bigger issue than heart disease or cancer. And 239 00:13:39,920 --> 00:13:44,040 Speaker 1: this is why I felt such urgency writing about superbugs 240 00:13:44,160 --> 00:13:46,640 Speaker 1: is because people don't really talk about it that much. 241 00:13:46,840 --> 00:13:48,960 Speaker 1: They think about it or they'll get an article forwarded 242 00:13:49,000 --> 00:13:51,760 Speaker 1: to them. But this is really important because at the 243 00:13:51,840 --> 00:13:55,120 Speaker 1: time when we need new antibiotics, the companies that make 244 00:13:55,160 --> 00:13:58,440 Speaker 1: them are getting out of the business. The pharmaceutical industry 245 00:13:58,440 --> 00:14:01,280 Speaker 1: has decided that this market is broken. And one of 246 00:14:01,280 --> 00:14:03,439 Speaker 1: the proposals that's on the table that you're going to 247 00:14:03,480 --> 00:14:07,359 Speaker 1: be hearing about from politicians is something called a push incentive, 248 00:14:07,679 --> 00:14:10,720 Speaker 1: where we can give tax breaks to the pharmaceutical industry 249 00:14:11,040 --> 00:14:14,480 Speaker 1: if they promise to invest some of the excess profits 250 00:14:14,520 --> 00:14:18,600 Speaker 1: into new antibiotics. People think that's a great idea. Some 251 00:14:18,760 --> 00:14:22,320 Speaker 1: don't listen to more Coast to Coast AM every weeknight 252 00:14:22,520 --> 00:14:25,320 Speaker 1: at one am Eastern and go to Coast to Coast 253 00:14:25,320 --> 00:14:26,800 Speaker 1: am dot com for more