US federal cocaine essential (‘precursor’) chemical regulation impacts on US cocaine availability: an intervention time–series analysis with temporal replication
Bibliographic record
Abstract
BACKGROUND AND AIMS: Research shows that essential/precursor chemical controls have had substantial impacts on US methamphetamine and heroin availability. This study examines whether US federal essential chemical regulations have impacted US cocaine seizure amount, price and purity-indicators of cocaine availability. DESIGN: Autoregressive integrated moving average (ARIMA)-intervention time-series analysis was used to assess the impacts of four US regulations targeting cocaine manufacturing chemicals: potassium permanganate/selected solvents, implemented October 1989 sulfuric acid/hydrochloric acid, implemented October 1992; methyl isobutyl ketone, implemented May 1995; and sodium permanganate, implemented December 2006. Of these chemicals, potassium permanganate and sodium permanganate are the most critical to cocaine production. SETTING: Conterminous United States (January 1987-April 2011). MEASUREMENTS: Monthly time-series: purity-adjusted cocaine seizure amount (in gross weight seizures < 6000 grams), purity-adjusted price (all available seizures), and purity (all available seizures). DATA SOURCE: System to Retrieve Information from Drug Evidence. FINDINGS: The 1989 potassium permanganate/solvents regulation was associated with a seizure amount decrease (change in series level) of 28% (P < 0.05), a 36% increase in price (P < 0.05) and a 4% decrease in purity (P < 0.05). Availability recovered in 1-2 years. The 2006 potassium permanganate regulation was associated with a 22% seizure amount decrease (P < 0.05), 100% price increase (P < 0.05) and 35% purity decrease (P < 0.05). Following the 2006 regulation, essentially no recovery occurred to April 2011. The other two chemical regulations were associated with statistically significant but lesser declines in indicated availability. CONCLUSIONS: In the United States, essential chemical controls from 1989 to 2006 were associated with pronounced downturns in cocaine availability.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".