Psychotropics: A scientific, regulatory, and public view on the medicinal uses of cannabinoids and psilocybin
Bibliographic record
Abstract
Research on psychotropics is gaining more popularity worldwide and support from drug regulatory agencies, which recognise the unmet medical needs of certain patient communities, such as patients with mental disorders and patients with cancer who experience depression. Cannabinoids and psilocybin have shown promising results in preclinical studies and clinical trials, but the current clinical evidence is scarce, and the regulatory requirements are strict due to high potential for drug abuse. The US FDA has recently released a draft, non-binding guidance on clinical trials with psychedelics. Europe is currently falling behind the US and Canada in terms of regulating psychotropic substances. The article provides a general introduction on conducting clinical trials with psychotropics and the regulatory requirements (as of October 2023) when submitting marketing authorisation application. In the near future, as more data becomes available, research on psychotropics will definitely shape the European regulatory landscape.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".