AI scans 400,000 Reddit posts to flag overlooked GLP-1 side effectsby University of Pennsylvania edited by Sadie Harley, reviewed by Robert Egan By using AI to analyze more than 400,000 Reddit posts, Penn researchers have identified patient-reported symptoms associated with GLP-1s, the popular weight-loss and diabetes drugs semaglutide and tirzepatide, that may not be fully captured in clinical trials or regulatory documents. The new study, published in Nature Health, covers more than half a decade of posts from nearly 70,000 Reddit users and highlights two main classes of symptoms that warrant further study: reproductive symptoms, including irregular menstrual cycles, and temperature-related complaints, such as chills and hot flashes. "Some of the side effects we found, like nausea, are well known, and that shows that the method is picking up a real signal," says Sharath Chandra Guntuku, Research Associate Professor in Computer and Information Science (CIS) at Penn Engineering and the study's senior author. "The underreported symptoms are leads that came from patients themselves, unprompted, and clinicians could potentially pay attention to them." "Clinical trials generally identify the most dangerous side effects of drugs," adds Lyle Ungar, Professor in CIS and a co-author on the study. "But they can fail to find what symptoms patients are most concerned about; even though social media is not necessarily representative, a large collection of posts may reflect additional concerns." The researchers caution that their findings are not causal. "We can't say that GLP-1s are actually causing these symptoms," notes Neil Sehgal, the study's first author and a doctoral student in CIS advised by Guntuku and Ungar. "But nearly 4% of the Reddit users in our sample reported menstrual irregularities, which would be even higher in a female-only sample. We think that's a signal worth investigating." Studying social media for healthIn 2011, Ungar participated in one of the earliest efforts to mine online, user-created content for information about drugs' adverse effects. "Online patient communities work a lot like a neighborhood grapevine," says Ungar. "People who are living with these medications are swapping notes with each other in real time, sharing experiences that rarely make it into a doctor's office visit or an official report." In the years since, social media use has only grown, making data from these platforms increasingly promising as a source of information about the side effects of medications, even as the platforms themselves have made accessing the data more difficult. (Guntuku has also published research on strategies for adapting to changes in platform access.) "Clinical trials are the gold standard, but by design, they are slow," says Guntuku. "This is not a replacement for trials, but it can move much faster, and that speed matters when a drug goes from niche to mainstream almost overnight." Leveraging AI to analyze social mediaUntil now, the most challenging part of this process, which Guntuku calls "computational social listening," has been scale. Because users vary in how they describe their symptoms, the effort required to map individual social media posts to language in the Medical Dictionary for Regulatory Activities (MedDRA), which clinicians use to describe symptoms, limited the amount of data this approach could handle. Now, large language models like GPT or Gemini have enabled the systematic analysis of social media posts at an unprecedented scale. "Large language models have made it possible to do this kind of analysis much faster with a level of standardization that could be difficult to achieve before," says Sehgal. Unreported symptomsWhile the population the researchers studied is admittedly not representative—Reddit users are younger, more likely to be male and disproportionately based in the United States—the symptoms described in their collective accounts largely match the known side effects of semaglutide and tirzepatide: about 44% of users in the study described at least one side effect, most commonly some form of gastrointestinal distress. What stood out was the nontrivial percentage of users who reported symptoms that may not be fully reflected in current drug labeling or routine adverse-event reporting. Nearly 4% of users who reported side effects described reproductive symptoms, including menstrual changes such as intermenstrual bleeding, heavy bleeding, and irregular cycles. Others reported temperature-related complaints, such as chills, feeling cold, hot flashes, and fever-like symptoms. In addition, fatigue ranked as the second most common complaint among Reddit users, despite reaching reporting thresholds in relatively few clinical trials. "These drugs are thought to work by engaging part of the brain called the hypothalamus, which helps regulate a wide variety of hormones," says Jena Shaw Tronieri, Senior Research Investigator at Penn's Center for Weight and Eating Disorders and a co-author of the study. "That doesn't mean the medications are necessarily causing these symptoms, but it could suggest that reports of menstrual changes and body temperature fluctuations are worth studying more systematically." Future directionsIn the near term, the researchers hope their findings will encourage clinicians and researchers to take a closer look at the side effects patients are discussing online. "They're clearly on patients' minds, and that's worth paying attention to," says Sehgal. The team also hopes to expand the work beyond Reddit and beyond English-language communities to test whether the same patterns appear across different platforms and populations. "We don't really know yet whether what we're seeing on Reddit reflects the experience of GLP-1 users globally, or whether it's particular to the kind of person who posts on Reddit in the United States," Ungar says. Ultimately, the researchers believe this kind of rapid, AI-assisted social media analysis could become a useful way to spot early warning signs around emerging drugs and wellness trends. For substances that trend quickly online, especially those sold in loosely regulated or unregulated markets, like injectable peptides, patient discussions on platforms like Reddit and TikTok may offer one of the earliest clues to what users are actually experiencing. "The whole point of this kind of approach is that it can move quickly, and that's exactly when it's most valuable," says Guntuku. ARTICLE SOURCE: https://medicalxpress.com/news/2026-04-ai-scans-reddit-flag-overlooked.html
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NMOSD is similar to Multiple Sclerosis but with the auto-immune response can be on the optic nerve. Basically, the immune system "thinks' it is attacking and removing something that does not belong, but the attack is on good/healthy tissue. The attack creates lesions on the myelin (the sheath that covers the nerves) and this attack opens the sheath and at times can expose the nerve. Both NMO and MS symptoms are all over the place and can make diagnosis really hard. It is more of a process of elimination approach to finding the diagnosis (and that sucks).
In the summer of 2018, I started with extreme burning sensations on my right thigh. Like if you were to pass a cutting torch across your skin. Then it moved to my left arm and my back. First diagnosis was Shingles without the blistering and rashes. The I started to have what felt like cramps behind my eyes. Then one day loss of motor skills in my left arm which sent me straight into 'stroke protocol'. Then finally on Labor Day morning I woke up and could not see. Everything was the same color as your monitor when you turn it off. Not jet black but just about.
By the time I got to the hospital most of the vision had returned. The left arm was sort of hanging around so back into stroke protocol again. Since my symptoms were hit and miss the doctors were sort of stumped. I was mostly scared but this once I was made enough to punch someone. I'm lying there, blurry eyed, left arm not working, my thigh on fire and (pardon the description) the only time I knew I was pissing or pooping was when it hit my ankles. And since the issues were coming and going and the doctor may or may not be present ...I had a doctor basically tell me, "I think you are here for pain pills, do you have a problem?". In both our best interests it was a good thing I was not able to stand up.
Luckily, I landed with my current Neurologist, and he ordered a couple test followed by a spinal tap. From there he got me on a 6-hour infusion two times per year. Other than a few minors I have been pretty much healthy since.
The carnivore diet has eased the inflammation and the associated pain, and I have not taken any pain medicine since mid-May. The weight loss is a lot like the bonus plan.
I have started reading where there are a number of NMOSD and MS patients who have found they no longer require their infusions/medications while on the carnivore diet. it is somewhat exciting and hopeful. It is not that bad of an experience, but the first one usually cost me around $3500 out of pocket but fortunately the second one is "on the house".
As far as the doctor who thought I was looking for pills. I photo'ed my medical record. At the time I was 49 years old. I had 7 prescriptions from the time I was 18-49. I wanted to draw a big middle finger, but my wife would not allow it.
And to add a funny, as I like to do that, imagine...in the shower, legs collapse, no movement in your left arm and you wind up laying on your good arm. You re yelling for your wife but she is on the other end of the house and can't hear you over the water. With all the negative potential while lying crumpled in the shower the only thing I could think of was "this f'ng hot water is going to run out soon".
Maybe it was the lesions on the brain or maybe I just think crazy shit. Don't know.
Excited to move forward with the benefits of the carnivore diet.
Scott