00:05:43.820Well, in our original AMA on peptides, which was released in April of this year, we outlined
00:05:50.080a framework with which we evaluated many of the most popular peptides. Here's what I
00:05:55.320like about this framework. It does its best to remove personal bias by forcing you to
00:06:00.360ask the same questions of drugs that you believe are good as drugs or don't or are frankly
00:06:08.080indifferent about. And it works for any drug, not just the category of drugs known as peptides.
00:06:13.440So if you're putting something into your body, I think these are the questions worth asking. First,
00:06:19.440is there a viable mechanism of action? A real mechanism of action forces the claim to become
00:06:26.620falsifiable. It asks, what is the molecular target? What changes downstream? And why would
00:06:34.840that plausibly produce the clinical effect being claimed? Without that chain, a claim like it
00:06:42.780boosts energy or supports immunity or reduces inflammation can mean almost anything and
00:06:50.560almost certainly nothing. It becomes marketing language, not biology. The other reason is that
00:06:58.480mechanism helps identify failure modes. A molecule may bind the intended target but not reach the
00:07:06.300relevant tissue. It may affect the pathway only at concentrations far above what humans could
00:07:12.460otherwise safely ingest. It may move a biomarker without affecting a disease process, or it may
00:07:19.760have opposing downstream effects that erase or even reverse the expected benefit. A defined
00:07:25.860mechanism gives you a place to interrogate the claim. Unknown mechanisms do exist in medicine,
00:07:32.700but they are absolutely the exception and not the rule. For example, if we look at FDA-approved
00:07:39.880drugs, the share with genuinely unclear mechanisms is small. It's about 3%. So if a compound has no
00:07:49.680plausible mechanism, that should be an early red flag. Okay. The second question you want to be
00:07:55.940asking is, do we have evidence of a meaningful benefit in humans? There are plenty of examples
00:08:03.040of a molecule that we thought should work and maybe even worked in animal studies, but then
00:08:09.400failed to produce the effect in humans, or frankly was outright dangerous in humans.
00:08:14.080Consider this, for example, of the compounds that clear the preclinical testing bar and enter phase one trials, roughly 30 to 50 percent still fail to advance to phase two, often because these drugs do not behave in humans as anticipated.
00:08:33.740All right. The third question is, do we understand safety, dosing, and pharmacokinetics? How much of
00:08:42.540this drug, in this case peptide, reaches circulation? How long does it stay active?
00:08:48.380What dose was studied? What are the short and long-term risks? And as such, what do you need
00:08:55.580to monitor? This matters because it tells us whether the molecule's behavior in the body
00:09:01.060is predictable and controllable, and whether there's a practical plan for using it safely,
00:09:06.560including what to watch for and how to intervene if something goes wrong.
00:09:11.800Fourth, does the likely benefit justify the risk for this person? Risk is always contextual. A
00:09:19.820serious adverse effect may be acceptable for a lethal childhood disease and yet completely
00:09:25.740unacceptable for some marginal wellness benefit. Risk only makes sense when weighed against the
00:09:32.200size and certainty of the benefit and against the risk of doing nothing. And then fifth,
00:09:38.560is there a better characterized way to get the same result? Because if there is, you have to ask
00:09:45.020yourself what you're actually gaining by reaching for the less characterized version of a drug.
00:09:51.320Is it more effective? Is it safer, easier to dose, or better suited to you as a person?
00:09:57.220Or is it cheaper, more available, newer, or is it just more compelling marketing?
00:10:02.960If you run any peptide through these five questions, you'll often arrive at your answer.
00:10:09.980And based on those answers to the questions, how would you then start to classify or bucket
00:10:15.940the level of evidence for various peptides?
00:10:18.660So, you know, in the original AMA, Nick, we kind of talked about peptides being in
00:10:25.340four different buckets, but I've sort of paid attention to how I've been speaking with patients
00:10:30.480about this, because obviously I'm being asked about it nonstop. And I've kind of defaulted it
00:10:36.240into three buckets, and that's kind of how I'll talk about it here. So bucket one is the
00:10:42.620scientifically unsupported tier. So the peptides that fall into this bucket, there's absolutely no
00:10:49.620validated mechanism. So either we have no idea where it binds or the proposed mechanism is vague
00:10:56.020or contraindicated by what we know. There's little or no credible human evidence that these work,
00:11:02.160and the claims tend to drift over time without any clinical progress to justify them.
00:11:06.820Then you have bucket two. Peptides in this bucket, you know, look, it's biologically plausible that they might work, but it's not supported by any human clinical evidence. So this means that there may actually be a mechanism of action that's credible and that the drug could have even worked in animal studies and perhaps even does something real at the level of human biology.
00:11:30.080but there's little evidence that it improves an outcome, right? And that's what matters in humans,
00:11:36.020especially for obviously off-label goals that people are typically using these things for.
00:11:40.320These are often drugs where development has stalled or even halted because it didn't work
00:11:46.880well enough. It wasn't safe enough, or perhaps it got beaten by a better drug in the pipeline.
00:11:53.520And then you have bucket three, and these are kind of scientifically legitimate molecules.
00:11:57.900Now, this makes it tricky because this is also the category where people often confuse a legitimate
00:12:04.420molecule with a legitimate product. I'm going to say more on that later, but these are the peptides
00:12:10.980that most likely are going to produce some biologically meaningful effect. One subtle but
00:12:18.020important point is that a drug isn't simply evidence-based. It's evidence-based for a particular
00:12:25.380dose, route of administration, patient population, indication, and clinical end point. So evidence
00:12:32.900doesn't automatically travel with the molecule. It belongs to a very specific clinical question.
00:12:39.560A drug shown to work in one disease, one population, or one dose cannot obviously be assumed to work
00:12:46.960equally well when any of those conditions change. Being in bucket three is not an endorsement.
00:27:56.020I really do want to handle this question with some empathy because these stories are sincere and I hear them constantly. And I'm not just hearing them directly. I'm hearing them indirectly from patients who are sharing stories of their friends or family members. But a testimonial describes what happened after someone took a drug.
00:28:15.460It can't tell you what would have happened without it.
00:28:19.260It also fails to often reflect what else was being taken or done with that drug.
00:28:25.380And those counterfactuals are the whole ballgame.
00:28:28.580So start with the biology of injuries.
00:28:30.540So musculoskeletal injuries tend to improve on their own, and they fluctuate a lot.
00:28:36.360People almost always start a peptide when they're at their worst, which is exactly when
00:28:42.440you'd expect things to get better anyway.
00:28:44.280drug or no drug. That's simply regression to the mean. This is a well-documented phenomenon
00:28:50.580in human physiology. Then layer on everything else people are doing at the same time. They're
00:35:32.120It tells you that the actual drug has been shown to produce a defined benefit in a defined human
00:35:39.240population. It gives you a studied dose, a formulation, a route of administration,
00:35:45.260and a pharmacokinetic profile. It gives you a characterized safety profile, known contraindications,
00:35:53.560known drug interactions, and monitoring requirements. It also gives you manufacturing
00:35:59.460standards around identity, potency, purity, stability, sterility, and lot-to-lot consistency.
00:36:09.560It's a lot of stuff here. With approved drugs, those questions are at least formally addressed.
00:36:17.160With many non-approved peptides, they are virtually all unanswered. An important point,
00:36:24.000So again, I can think of countless examples of drugs that get pulled off the market when post-market surveillance either demonstrates the efficacy is not large enough or the side effects.
00:36:53.540or unwanted off-target consequences of the drug are too great.
00:36:58.500This is a reason that approval is indication-specific.
00:37:02.360A drug may have a reasonable risk-benefit profile in one population,
00:37:19.940which is a severe life-limiting mitochondrial disease based on limited evidence. That does
00:37:26.560not mean we have enough information to make an informed risk-benefit calculation for a healthy
00:37:31.700person taking it for energy, performance, or longevity. A risk that is acceptable when the
00:37:37.460alternative is early death may be completely unacceptable when the expected benefit is
00:37:43.200speculative. So what do you lose by sticking with approved drugs? Well, you lose early access. You
00:37:50.900may lose cheaper options. You lose access to compounds with marginal benefit that would not
00:37:56.700survive a formal development process. But I think what you gain is much more important.
00:38:02.640Evidence, dose clarity, safety characterizations, manufacturing control, and post-market surveillance.
00:38:09.920And that's why I would just have a hard time recommending non-approved peptides, not because FDA approval is infallible and final, but because bypassing that system usually means giving up the information and oversight that you would need to make a defensible risk-benefit decision for yourself.
00:38:31.500and so peter based on what you just said what if someone says you know it is unimproved peptide but
00:38:39.040i got it from either a doctor a compounding pharmacy or a vendor that has third-party
00:38:45.460testing does that solve kind of any of the problems you just laid out there it solves
00:38:51.260some of the problems but actually not most of them a prescription tells you that a licensed
00:38:56.040clinician facilitated access, but it does not create any of the missing evidence for the
00:39:02.700molecule. Physician involvement may improve counseling, injection technique, screening,
00:39:08.340monitoring, which can matter, but it doesn't prove anything about the peptides working
00:39:13.260or that the promoted dose is valid or that the product has the same properties
00:39:17.700as the studied version of the pharmaceutical if you're using something that mirrors that.
00:39:22.480The same is true for compounding pharmacies. A compounded version of a peptide does not
00:39:27.360automatically mean it has the same safety and efficacy of the studied version. The oversight
00:39:33.620and sourcing may be better from products purchased online and labeled for research purposes only,
00:39:40.620and those differences may matter. But the central issue remains, it does not automatically inherit
00:39:46.600the clinical evidence, manufacturing controls, or monitoring of a regulated product.
00:39:52.480Third-party testing can help, but it only answers part of the question.
00:39:57.500HPLC or mass spectrometry may confirm the identity, approximate amount, and chemical
00:40:03.680purity of a sampled vial, and that's very useful information, but it does not say anything
00:40:09.360about sterility or lot-to-lot consistency.
00:40:13.020People are often treating peptides like an over-the-counter dietary supplement, but these
00:40:18.380can be potent injectable molecules. And the more a drug can do to the body, the more care I think
00:40:24.680needs to be given to our thoughts around it. Peptides as a class can be genuinely powerful,
00:40:30.660which is a reason to be more careful with them, frankly, not less. We can't normalize
00:40:36.520treating real drugs carelessly. So I would say the answer is a doctor, a compounding pharmacy,
00:40:42.280or a third-party test may reduce some of the risks of using gray market peptides, but they
00:40:47.500don't solve the fundamental problems. And what if the gray market peptide is a version of a drug
00:40:55.120that already has good evidence? So for example, how do you think about gray market GLP-1 agonists?
00:41:03.040I think one of the biggest misconceptions people have about these so-called research-only or gray
00:41:09.220market peptides is that they assume the molecule is the drug, but it's not. The molecule is only
00:41:15.740the starting point. This is, I would say, a not obvious point. Take retitrutide as an example.
00:41:23.580Retitrutide is not just the amino acid sequence. Anyone trying to turn that sequence into a
00:41:30.140reproducible pharmaceutical has to solve an enormous number of engineering and manufacturing
00:41:35.780problems that have nothing to do with whether the molecule binds its receptor. Can the molecule be
00:41:42.600manufactured reproducibly at scale? Can it be purified consistently? Can you demonstrate
00:41:48.360analytically that every batch contains the same molecule at the same concentration and purity?
00:41:54.160Now, those aren't like bureaucratic details. They are fundamental chemical engineering and
00:41:59.740manufacturing questions. A pharmaceutical is not simply a molecular structure. It's the successful
00:42:06.480solution to each of those problems. That's why I think it's a mistake to assume that because
00:42:11.580two vials claim to contain the same amino acid sequence, they're equivalent. They may not be.
00:42:17.940Even if the sequence is correct, the manufacturing process may differ in ways that are analytically
00:42:23.540important and potentially clinically important. When clinical trials show that a drug works,
00:42:30.020they are not validating an amino acid sequence in the abstract. They are validating a specific
00:42:36.480product manufactured under specific processes with a specific formulation and specific
00:42:43.740physiochemical characteristics. The evidence applies to the product that was actually studied,
00:42:50.580not automatically to every preparation that shares the same amino acid sequence.
00:42:55.980This is not mainly a regulatory argument. It's an acknowledgement that chemistry,
00:43:01.280manufacturing, and analytical science are inseparable from pharmacology. If you change
00:43:06.760the product, you may also change the properties of the drug. And how do you think about the
00:43:13.440statements that pharmaceutical companies can ignore these peptides because the natural peptides
00:43:18.980can't be patented? Is there any truth to that? Only partial truth to that. The kernel of truth
00:43:25.500is that you can't patent a product of nature in its raw form, but patent law leaves enormous room
00:43:32.440for monetization. And this is the part people miss. Almost none of these peptides exist in
00:43:37.680nature in the form that's actually used. Companies routinely patent modified analogs,
00:43:44.520new sequences, salts, conjugates, delivery systems, manufacturing processes, even specific dosing
00:43:51.100regimens and uses. Rapamycin, metformin, and the statins all began as natural molecules and were
00:43:58.220all eminently patentable once modified. Even BPC-157 has patents on all its salts and production
00:44:06.620methods. The pharmaceutical industry is many things, but indifferent to money is not one of
00:44:13.500them. Lack of pharmaceutical development doesn't prove a peptide doesn't work. But decades of
00:44:20.700promotion without convincing human efficacy data despite obvious commercial interest should lower
00:44:27.520your confidence that the claimed effects are as dramatic as advertised. We've already seen
00:44:33.540exactly this dynamic play out. A whole field of companies is racing to develop drugs built on
00:44:42.160synthetic variations of the same GLP-1 peptide biology, a drug based on a peptide found in
00:44:51.520nature. So if these gray market peptides truly delivered on their claims, that same pharmaceutical
00:44:58.940industry would be racing to develop them too. And the conspicuous absence of that race0.97
00:45:05.740should tell you what you need to know. In fact, something a lot of people don't realize is that
00:45:11.760many of these wellness peptides are drugs that started in the pharmaceutical pipeline but stopped
00:45:17.240being pursued for one reason or another. Inadequate efficacy, safety concerns, poor pharmacokinetics,
00:45:23.600a failure to outperform existing treatments, competition from a better drug, or simply the
00:45:29.680lack of commercially available indication. The cleanest illustration of this is CJC-1295
00:45:35.280versus tesamoralin. Same underlying biology developed around the same time. CJC-1295
00:45:42.580reached phase two, but was abandoned. Tesamoralin advanced to phase three and received full FDA
00:45:49.680approval. Tesamoralin is actually closer to the native molecule than CJC-1295. Its success has
00:45:57.640nothing to do with being more patentable or more natural. It succeeded because the data were
00:46:03.020better. So the picture people have where peptides live in some world outside of the pharmaceutical
00:46:09.080industry has it exactly backwards. These molecules came from inside the industry very often.
00:46:15.960CJC-1295 is actually named after the pharma company that abandoned it, Conjuchem. The gray
00:46:22.560market isn't an alternative to pharma. It's the salvage yard for the drugs pharma tested and0.99
00:46:28.560walked away from. And so Peter, as we wrap this episode, if a person who's listened or watched
00:46:34.740all of this is kind of starting to try and make sense of it, what do you think they should take
00:46:39.820away about today's peptide landscape? The skepticism I've expressed here is aimed at the
00:46:46.780gray market wellness ecosystem, not at peptide science. Peptides are a legitimate and powerful
00:46:53.360class of drugs. As I gave examples of before, insulin and GLP-1s are the obvious examples
00:46:58.820of what is possible when you understand the biology, dosing, manufacturing, benefits,
00:47:04.620and risks. The pipeline also supports this. Roughly 100 peptide drugs are already approved,
00:47:10.880and about 150 more are in clinical trials, and 600 to 700 more are in preclinical development.
00:47:19.820The area with the most genuine near-term promise are in metabolism, infectious disease, diagnostics, and cancer, where a peptide's specificity can be a major advantage.
00:47:31.760The irony is that the uses most aggressively promoted in the wellness world, brain boosting, recovery, and tissue repair, are often the areas where peptides face the steepest scientific climb.
00:47:46.660The blood-brain barrier makes central nervous system effects very difficult.
00:47:51.960Tissue repair is biologically complex, and broad claims about healing, regeneration, or optimization are much harder to validate than claims about a defined disease.
00:48:02.840So the promise is real, it's just not evenly distributed.
00:48:06.700Much of what people encounter today in the gray market peptide world falls well short of that promise.
00:48:12.180Some compounds are biologically unconvincing. Some were clinically abandoned. Some are
00:48:18.540investigational drugs being used before development is complete. Others are unauthorized versions of
00:48:24.420real pharmaceuticals stripped of the manufacturing controls, quality assurance, and surveillance that
00:48:30.240made the original product interpretable. For a generally healthy person, that means the bar
00:48:36.380should be very high, higher than it would be for someone with a severe or untreatable disease.
00:48:43.220If the expected benefit is modest or speculative and the product quality is uncertain, the risk
00:48:49.660benefit calculation changes pretty quickly. A risk that may be reasonable in a life-limiting
00:48:55.840disease can be unreasonable when the goal is better energy or faster recovery or some vague
00:49:01.820promise of longevity. And Peter, what would you say to someone who, even after listening or
00:49:08.220watching this, is still skeptical around your stance on peptides? Here's the test I'd apply.
00:49:16.080What observation would prove a given peptide claim wrong? If the answer is none, if every
00:49:25.940disappointing outcome gets explained away by dose, timing, supplier, stacking, that's not a scientific
00:49:34.840claim anymore. A hypothesis has to be falsifiable or it can't be corrected by evidence. That standard
00:49:42.580is exactly what conventional drug development enforces. Show efficacy in humans, define who
00:49:49.840benefits, characterize dose and pharmacokinetics, understand the risks, then decide how it should
00:49:55.740be used. Adoption follows evidence. Much of the wellness peptide space has run that order
00:50:02.420completely backwards. Widespread use has preceded the evidence, on the assumption that evidence
00:50:08.300will eventually catch up. It hasn't done so for the gray market peptides. If these compounds worked
00:50:14.280as claimed, the science should be getting more precise over time, better trials, narrower
00:50:20.280indications, clearer dosing. Instead, for many of them, the list of claims keeps growing while the
00:50:27.600foundational questions, the one that would allow you to make truly informed decisions, remains
00:50:33.660open. Yes, the pharmaceutical industry has made its share of egregious mistakes, but those mistakes
00:50:40.140happen inside a process built to weed out failures.
00:50:45.68090 to 95% of drugs entering clinical trials