Teens and Spice: A Review of Adolescent Fatalities Associated with Synthetic Cannabinoid Use
Bibliographic record
Abstract
Synthetic cannabinoids (SCs) are commonly abused by adolescents with reported past year (2013) use in high school students between 3 and 10%. Standard adolescent postmortem toxicology does not include routine SC analysis, and thus, the true burden of fatalities related to SCs is unknown. A retrospective case review of two cases included scene investigation, interviews, autopsy, and toxicology. SCs were confirmed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Review of the eight adolescent SC-associated fatalities in the literature revealed five of eight cases had no other discernible cause of death on autopsy. Compounds detected included PB-22 (1.1 ng/mL), JWH-210 (12 ng/mL), XLR-11 (1.3 ng/mL), JWH-122, AB-CHMINACA (8.2 ng/mL), UR-144 (12.3 ng/mL), and JWH-022 (3 ng/mL). With synthetic drug use on the rise, forensic experts should have a high index of suspicion for the possibility of SC intoxication in adolescent fatalities with no other discernible cause of death.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".