Flualprazolam and flubromazolam: Blood concentrations and prevalence of two novel psychoactive substances in forensic case work in Ontario, Canada
Bibliographic record
Abstract
Flualprazolam and flubromazolam are synthetic benzodiazepines that have not been approved for use in humans. They are categorized as novel psychoactive substances (NPS), and have been increasingly encountered in forensic case work. This report examines information from cases analyzed for flualprazolam and flubromazolam between July 1 and December 31, 2021 to identify the prevalence, trends and demographic data associated with these novel drugs in Ontario, Canada. Flualprazolam was identified in blood, serum or liver in 395 death investigations, 108 impaired driving and five sexual assault cases. Among all case types, blood concentrations were determined in 123 individuals aged 19-66 years. In impaired driving and sexual assault cases, flualprazolam blood concentrations ranged from <1.3 to 227 ng/mL (median 11.0 ng/mL), whereas a range of 3-59 ng/mL (median 6.8 ng/mL) was reported in death investigations. Flubromazolam was identified in blood, serum or liver in 137 death investigations, 55 impaired driving and one sexual assault case. Blood concentrations ranged from <1.3 to 323 ng/mL in 65 individuals, aged 14-61 years. In impaired driving and sexual assault cases, flubromazolam blood concentrations ranged from <1.3 to 323 ng/mL (median 7.7 ng/mL), which overlapped with the range of 2-220 ng/mL (median 8.0 ng/mL) reported in death investigations. Other drugs were frequently detected with flualprazolam and flubromazolam with opioids identified in more than 89% of positive flualprazolam and flubromazolam cases. These results demonstrated the prevalence of flualprazolam and flubromazolam in Ontario, Canada. Trends showed that over the 6-month period, as the number of flubromazolam cases decreased, the incidences of flualprazolam increased. An overlap in concentrations of these drugs was observed in both death investigations and cases involving living individuals. These data provide valuable information for the scientific community regarding the use of these drugs in antemortem and postmortem casework.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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".