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Pregnant women in ERs took less Tylenol after Trump autism warning (www.npr.org)

submitted 1 day ago by MicroWave@lemmy.world to c/health@lemmy.world

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Trump told pregnant women in September 2025 to avoid Tylenol because taking it would increase their babies' risk of autism: "Taking Tylenol is not good — I'll say it: It's not good."

Doctors and scientists quickly said the data didn't support the president's claim, but emergency room orders for Tylenol, or acetaminophen, for pregnant patients went down 10% in the months that followed, according to a new study in The Lancet. There was no change in the acetaminophen orders for comparable women who weren't pregnant.

"It happened overnight," says Dr. Jeremy Faust, an emergency physician at Brigham and Women's Hospital in Boston who led the study. The president's words "had an immediate impact on how much Tylenol or acetaminophen was being ordered in emergency departments."

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[–] hitmyspot@aussie.zone 2 points 19 hours ago (1 children)

How would you propose finding more drugs for pregnant women? Because generally double blind clinical trials is the best way. Experimenting on pregnant women is considered unethical, which is part of the problem.

Yes, it would be great if we knew more but the fact of the matter is that there is neither the commercial impetus to study more, more the ethical ease of consent from a foetus.

Most data on safety comes from drugs already in use and 'presumed' safe due to their long standing use. Newer drugs are avoided but when taken without realizing they are pregnant or if there is no later active and studying the outcome is the only available options. That doesn't give much data.

[–] Gullible@sh.itjust.works -1 points 14 hours ago (1 children)

I understand what you’re putting down, but it is still the same disappointing conclusion. The mechanical realities of the situation are irrelevant to someone already sighing and accepting, albeit overly verbosely, what they’ve learned.

[–] hitmyspot@aussie.zone 1 points 10 hours ago

No, you’re spouting misinformation, without understanding the damage that can cause, nor the realities of why there is less data.