Intoxications in an Australian Emergency Department Involving ‘Nitazene’ Benzylbenzimidazole Synthetic Opioids (Etodesnitazene, Butonitazene and Protonitazene)
Bibliographic record
Abstract
Benzimidazole synthetic opioids are highly potent μ-opioid receptor agonists with heroin-like effects, including dose-dependent respiratory depression and a high risk of abuse and toxicity. Benzimidazoles were first detected in 2019 in Europe and Canada, with analytical confirmation of etodesnitazene, protonitazene and butonitazene in 2021. We report the first detections of these compounds in Australia, in two patients presenting with drug toxicity to Emergency Departments (EDs) in the state of Victoria. Case 1 was a female in her 20s who rectally administered etodesnitazene and was found unconscious with respiratory depression and hypotension. Case 2 was a female in her 30s who presented to the ED in a sedated state after taking a formulation of protonitazene that also contained butonitazene, in addition to methylamphetamine. She responded positively to naloxone. Novel synthetic opioids were used with prior experience of the formulations purchased; however, the unpredictability of their effects was demonstrated by the acute toxicity experienced with this occasion of use. Toxicosurveillance of ED presentations with analytical confirmation of drugs is crucial in identifying emerging drugs in the community and informing harm reduction strategies.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".