Etizolam Blood Concentrations in 191 Forensic Cases in Ontario, Canada (2019–2020)
Bibliographic record
Abstract
Although not used clinically in North America, etizolam has been identified in forensic samples as an illicit 'designer' benzodiazepine. As a central nervous system depressant, analysis for etizolam has probative value in both death investigations and forensic cases where incapacitation or human psychomotor performance is relevant. This report examines toxicological findings and demographic data in a series of authentic forensic cases analyzed between November 2019 and December 2020 in which etizolam was quantified by liquid chromatography-tandem mass spectrometry analysis. Blood concentrations were determined in 191 individuals aged 1-75 years. In living individuals (i.e., impaired driving and sexual assaults), etizolam concentrations ranged from <5 to 767 ng/mL which overlapped with the range of <5 to 260 ng/mL reported in death investigations. In all but one case, other drugs were detected in combination with etizolam. Fentanyl was the most common co-occurring drug and was present in 164 cases (86%). Additional case details are provided for cases of forensic interest: two deaths involving children <3 years of age, two deaths involving body packing and an individual arrested for drug-impaired driving with, to our knowledge, the highest reported etizolam concentration to date.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".