Scheduling of newly emerging drugs: a critical review of decisions over 40 years
Bibliographic record
Abstract
AIMS: Decisions on whether and how to 'schedule' drugs (i.e. to determine their legal status and penalties to be applied for sale or possession) are often heavily criticized. We sought to assess more comprehensively the results of such decisions for newly emerging drugs. METHODS: Through analysis of legislation and secondary sources, we identified 63 substances that have emerged since 1971, including all that have been added to the most restrictive schedule by the United Nations, United States, United Kingdom, Canada, Australia and/or New Zealand. MEASUREMENTS: For each jurisdiction we recorded whether, when, and how the substance was scheduled and note what decisions engendered substantial criticism or controversy within the international treaties' framework of balancing medical benefits with risk of abuse. FINDINGS: (i) The rate of emergence of new drugs has been fairly steady. (ii) There is broad cross-national agreement on what should be scheduled. (iii) The United States often acts first. (iv) Temporary bans that delay final decisions by 12-18 months can sometimes allow final decisions to be grounded on a substantially expanded research base. (v) It appears that no more than seven of the decisions reached by the United States with respect to the 63 substances are candidates for being considered errors, and arguably the United States has committed at most one serious Type I and one serious Type II error. Results for other countries are broadly similar. CONCLUSIONS: The process for determining the legal status of new psychoactive substances appears to function reasonably well, within the framework of international treaty obligations. Most criticisms relate to one or a few substances (e.g. 3,4-methylenedioxymethamphetamine) and/or complaints that the decisions discount benefits that are not recognized by the treaties (e.g. recreational or religious use).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.120 | 0.276 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.018 | 0.016 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".