WTF

The Dangers of Self-Diagnosis and AUD (Alcohol Use Disorder)

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Using naltrexone to cut back on drinking isn’t new, says Sarah Wakeman, a senior medical director for substance use disorder at Mass General Brigham. The approach dates back to the 1980s with the Sinclair method, which pairs drinking with naltrexone to blunt alcohol’s pleasurable effects. In parts of Europe, Wakeman adds, people have long used a “pill-in-the-pocket” strategy, taking the medication only when they anticipate drinking. A decades-old drug is helping people drink less alcohol—without giving it up completely – https://www.nationalgeographic.com/health/article/naltrexone-drink-less-alcohol? (Paywall article)

The Provider Individual who is not a doctor will see you after you answer the questionnaire (this is the self-diagnosis part).

Oar Health is an online service offering naltrexone subscriptions to those with alcohol use disorder (AUD). Users can fill out a brief assessment which is reviewed by a medical professional, then be given a naltrexone prescription if appropriate. After a one-time $50 fee, subscriptions cost $297 for three months of medication, which comes out to $99 monthly. It’s currently available in 42 US states. Beyond the naltrexone prescription, Oar Health offers ongoing access to the support of a medication prescriber, a health coach, a Facebook group for community support, and extras like educational articles and guided reflections.Oar Health Review: Pros & Cons, Cost, & My Experience – https://www.choosingtherapy.com/oar-health-review/

Health coaches who are “naltrexone experts”! And The Sinclair Method might not work for everyone. https://drugfree.org/article/sinclair-method/

Depending upon the online service you choose you may get naltrexone prescribed when trying to get your doctor prescribed GLP-1 filled out even when you don’t have alcohol use disorder.

Telehealth companies such as Vida Health and its rivals offer lifestyle support so people taking drugs like Wegovy and Zepbound can have the most success on the drugs. But the companies often have another job: limiting obesity drug costs for employers.

The Vida Health nurse said he was a good candidate for Zepbound but insisted he try two generic drugs first: naltrexone, a drug used to curb alcohol and opioid use, and bupropion, an antidepressant. Neither drug is approved for obstructive sleep apnea. Primary care doctors raise alarm as telehealth companies get involved in obesity drugs – https://www.npr.org/2026/06/14/nx-s1-5805984/glp1-telehealth-weight-loss-drugs

Yikes.

College Students Are Losing the Ability to Read (and think)

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More food for thought (but only if you can read and think):

In a new essay for The Chronicle Higher Education, university-level literature and writing instructor Tyler Jagt recalls how not a single one of his students could get through an assigned 20-page article, something that he had read “without complaint” as an undergraduate a decade ago…“So when a student tells me they ‘kept losing track’ of a 20-page article, I have to acknowledge that they may be describing a measurable neurological condition,” Jagt wrote. “The neural pathways that support sustained attention are built by use, and they atrophy without it. Your body is a use-it-or-lose-it system, and the brain is no exception.” College Students Are Rapidly Losing the Ability to Read – https://futurism.com/future-society/college-students-losing-ability-read

No surprise then when graduates demonstrate Alarmingly Shallow Ideas.

Do we really want Artificial Intelligence (AI) in the Classroom?

Artificial Intelligence (AI) in the Classroom?

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Retraction Note to: Humanities and Social Sciences Communications https://doi.org/10.1057/s41599-025-04787-y, published online 06 May 2025. The Editor has decided to retract this paper owing to concerns regarding discrepancies in the meta-analysis. These issues ultimately undermine the confidence the Editor can place in the validity of the analysis and resulting conclusions. The authors have not responded to correspondence regarding this retraction. Retraction Note: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis – https://www.nature.com/articles/s41599-026-07310-z

The jury’s still out on AI’s effectiveness as a learning tool, but research so far paints a grim picture. Using AI chatbots can impair critical thinking, result in lower brain activity during cognitive tasks, and has been linked to memory loss. A Major Paper Claiming AI Is Good for Students Just Got Retracted, Which Is Very Bad News for Advocates of AI in the Classroom – https://futurism.com/artificial-intelligence/study-ai-good-for-students-retracted

AI’s effectiveness as a learning tool is probably better for people who already know how to think having “learned” stuff the old fashioned way. AI’s effectiveness as a learning tool for some of the younger generations has shown promise in one area known as cheating.

Last year, a survey of some 500 Princeton seniors found that over 27 percent admitted to cheating with an AI model like ChatGPT, while about half said they knew about a violation of the honor code. If those are the numbers at a vaunted Ivy league, just imagine what conditions are like for the rest of the country. Princeton in Shambles Over AI Cheating – https://futurism.com/future-society/princeton-shambles-ai-cheating

BTW, the estimated cost of attendance for 2026-27 is $94,624 at Princeton U. https://admission.princeton.edu/cost-aid/fees-payment-options

Maybe the Princeton kids had to cheat because they offloaded too much of their own thinking and by default, didn’t learn how to think.

The risks of using generative artificial intelligence to educate children and teens currently overshadow the benefits, according to a new study by the Brookings Institution’s Center for Universal Education… The report describes a kind of doom loop of AI dependence, where students increasingly off-load their own thinking onto the technology, leading to the kind of cognitive decline or atrophy more commonly associated with aging brains… Rebecca Winthrop, one of the report’s authors and a senior fellow at Brookings, warns, “When kids use generative AI that tells them what the answer is they are not thinking for themselves. They’re not learning to parse truth from fiction. They’re not learning to understand what makes a good argument. They’re not learning about different perspectives in the world because they’re actually not engaging in the material.“ The risks of AI in schools outweigh the benefits – https://www.npr.org/2026/01/14/nx-s1-5674741/ai-schools-education?

Your final food for thought.

Peptides Explained

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Your Local Epidemiologist (YLE) is founded and operated by Dr. Katelyn Jetelina, MPH PhD—an epidemiologist, wife, and mom of two little girls.

The people currently using these compounds are, in effect, running an uncontrolled experiment on themselves. Peptides, explained: Answers to your top questions – https://yourlocalepidemiologist.substack.com/p/peptides-explained-answers-to-your?

An uncontrolled experiment on themselves.

Yikes.

“Medical” Advice for the Masses

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The AIs’ failure rates exceeded 80 percent when provided with given ambiguous symptoms that could match more than one condition, and for more straightforward cases that included including physical exam findings and lab results, they still failed 40 percent of the time. The researchers also found that unlike human clinicians, the “LLMs collapse prematurely onto single answers,” resulting in “weak performance” across all models. Millions of Americans Are Talking to AI Instead of Going to the Doctor, and It’s Giving Them Horrendously Flawed Medical Advice – https://futurism.com/artificial-intelligence/millions-americans-ai-instead-doctor-bad-advice

Wow.

From the study discussion section:

Our evaluation suggests that despite rapid advances in pattern recognition and knowledge retrieval, current LLMs still lack the reasoning processes needed for safe clinical use. The consistent gap between differential diagnosis and final diagnosis highlights how differently these systems process information compared with physicians. Clinicians preserve uncertainty and iteratively refine differential diagnoses, whereas LLMs collapse prematurely onto single answers, a limitation that persists across model generations. Their weak performance on differential diagnosis, consistent with a prior study from authors of the current work,8 suggests these limitations persist across early and state-of-the-art models. The risk is not just that LLMs are sometimes wrong but that their reasoning is brittle precisely where uncertainty and nuance matter most. Benchmarks that reward only correct final answers risk reinforcing this shortcutting, widening the gap between marketing claims and the skills actually required at the bedside. Large Language Model Performance and Clinical Reasoning Tasks – Rao AS, Esmail KP, Lee RS, et al. Large Language Model Performance and Clinical Reasoning Tasks. JAMA Netw Open. 2026;9(4):e264003. doi:10.1001/jamanetworkopen.2026.4003 https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2847679

Wow.

Should you really trust health advice from an AI chatbot? https://www.bbc.com/news/articles/clyepyy82kxo. Dr Nicholas Tiller explains: “They are designed to give very confident, very authoritative responses, and that conveys a sense of credibility, so the user assumes that it must know what it’s talking about.” He thinks chatbots should be avoided for health advice unless you have the expertise to know when the AI is getting the answers wrong.

The study’s Conclusions The audited chatbots performed poorly when answering questions in misinformation-prone health and medical fields. Continued deployment without public education and oversight risks amplifying misinformation. Tiller NB, Marcon AR, Zenone M, et al

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit BMJ Open 2026;16:e112695. doi: 10.1136/bmjopen-2025-112695 https://bmjopen.bmj.com/content/16/4/e112695

Wow.

Now go read this thread posted on LinkedIn https://www.linkedin.com/posts/gratuz_ai-llm-activity-7358862577512165376-Q7AA

Yikes.

America’s Next Epidemic is Happening in Canada

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Sports betting is being marketed to young Americans as an investment. Social media has perpetuated the idea that betting on sports is a profitable venture, leading to the normalization of unsafe and risky behavior. The legalization of prediction markets like Kalshi and Polymarket have only reinforced that messaging. America’s next epidemic – https://www.bettoroff.org/about-6-1

Nearly one in four (23.5%) young adults, aged 18 to 29, who reported gambling online in the past year experienced high levels of gambling-related harms, including financial, emotional, psychological and relationship harms. Online Gambling Among Young Canadian Adults: A Call to Action – https://www.ccsa.ca/en

Yikes.

Now READ THIS (if you can)

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Just a few days ago I posted READ THIS! (if you can). Then I came across this:

A conservative colleague said the use of AI to create addiction and device dependency was evil. That is an understatement. These kids rely on ChatGPT not just for information but also to make choices, and for many, that seems to extend to every aspect of their lives. Sam Altman makes clear in video clips below that this extreme loss of independence, of personal autonomy, is deliberate.

That means unless these kids can find a way to break free, they are cognitive serfs that can be told to do anything. How to vote. Whether to sign up to die in a hopeless war. Whether to take a job in a unsafe meatpacking plant and risk loss of limbs.

This widespread abuse is far worse than what the Sacklers and other opioid peddlers did to mainly working class pain victims, or what the British did to China in the Opium Wars. At least with opioid addiction, it is possible for the victims to recover even if the withdrawal process is painful. The evidence is mounting that even for adults, regular use of AI diminishes reasoning skills and attention spans.

These children are being turned into automatons, incapable of independent thought and action. It’s widely known in developmental psychology that if certain patterning does not happen at critical ages, the deficit is permanent. Kittens needing visual input in their first few days or they are blind. Kids who don’t crawl having coordination issues as adults due to missing important movement patterning. Less dramatic versions are not being able to make sounds in foreign languages if you have not heard and practiced them when young.

These young AI addicts are set to be permanently damaged. This is tech bros creating something as permanent and harmful as fetal alcohol syndrome on a mass basis. And they clearly know what they are doing, witness how they raise their children on completely different lines. “We Are Watching Critical Thinking Disappear in Real Time” Due to AI Addiction: 40% of Kids Can’t Read, Teachers Quitting in Droves – https://www.nakedcapitalism.com/2026/01/we-are-watching-critical-thinking-disappear-in-real-time-due-to-ai-addiction-40-of-kids-cant-read-teachers-quitting-in-droves.html

Thanks for sharing Yves. But as one of your readers noted,

If we teach kids to think they won’t do what they’re told!