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by PragmaticPulp
1126 days ago
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> Ketamine is a life-saver and has been proven to relieve depression, regardless of the administration setting. It’s really not uncommon for some trials to fail to differentiate from placebo when it comes to depression studies. That doesn’t make this study “rubbish”, it just shows that you need to examine the body of evidence rather than cherry-picking studies that appear to match the outcome you want while dismissing those that say the opposite. Ketamine is a temporary boost for some people, but it has also been overhyped in recent years. The single biggest downside is that it’s not a long-term solution. The duration of the antidepressant effect is relatively short (days to weeks) and the antidepressant effect appears to diminish with repeated dosing. It can be a great help for suicidal patients or for getting traditional treatment started, but it’s not a singular solution to depression for most people. Ketamine prescribing also got out of control fast. I traveled to a city where Ketamine clinics were advertising on the radio and billboards and competing with coupons and discounts and exaggerated promises of efficacy. Reddit and other forums are also filling up with stories of people who think their ketamine “stopped working” because they weren’t properly informed that it was a temporary effect for most people that needed to be combined with traditional therapy. Way too many clinics and influencers looking to ride the hype train without honestly assessing the situation. |
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But this study doesn't say the opposite. It fails to show an effect. That's different from proving the absence of an effect. Every Ph.D. student in an empirical field learns this in their first year. I'm surprised this study gets so much attention.
You can make a study verifying that a pound gold and a pound feathers accelerate downwards at the same speed in a vacuum, and perhaps you messed up the vacuum, so they actually fall with different speeds in your study. Doesn't prove gravity is messed up. You just failed to prove that it's not. Can have many reasons. Same with this study.