Unanticipated Benzodiazepine Withdrawal in the Context of an Adulterated Unregulated Opioid Supply in Vancouver, BC: A Case Series
Bibliographic record
Abstract
ABSTRACT Background: Novel psychoactive substance (NPS) benzodiazepines have emerged as frequent adulterants of the unregulated opioid supply in Vancouver, BC. People regularly and inadvertently exposed to these adulterants who abruptly discontinue unregulated opioid use may be at elevated risk for unanticipated benzodiazepine withdrawal. Objective: To explore the phenomenon of unanticipated benzodiazepine withdrawal in a medically supervised setting for people undergoing withdrawal management for opioid use disorder. Methods: Chart-based retrospective case series (n=6) of people with severe opioid use disorder and without a history of co-occurring alcohol use or intentional benzodiazepine use, presenting to a medically supervised withdrawal management facility, who exhibited signs consistent with unanticipated benzodiazepine withdrawal during admission. Results: The average length of stay was 7.1 days (range=5–10), with 2/6 patients requiring transfer to the hospital related to suspected benzodiazepine withdrawal, and 5/6 being discharged following stabilization of suspected benzodiazepine withdrawal. Peak Clinical Institute Withdrawal Assessment Alcohol Scale Revised scores ranged from 12 to 26 (mean=16.8), with 1 patient exhibiting a withdrawal-related seizure, 5 experiencing acute perceptual disturbances, and zero fatalities recorded. Heterogeneity was observed in the timing and presentation of suspected benzodiazepine withdrawal. The average total administered benzodiazepine dose in diazepam equivalents was 90.8 mg (range=30–150 mg) over an average of 3.8 days. Conclusions: Where drug markets are characterized by high rates of NPS benzodiazepine adulteration, people undergoing abrupt discontinuation of unregulated opioids in a range of settings—including those accessing withdrawal management services—may be at elevated risk for complicated benzodiazepine withdrawal. Standardized risk assessment and management approaches are needed to address these potential harms and monitor for evolution of adulteration-associated trends. Contexte: Les benzodiazépines, nouvelles substances psychoactives (NSP), sont devenues des adultérants fréquents dans l’approvisionnement non réglementé en opioïdes à Vancouver, C.-B. Les personnes exposées régulièrement par inadvertance à ces adultérants qui cessent brusquement d’utiliser des opioïdes non réglementés peuvent être exposées à un risque élevé de sevrage imprévu des benzodiazépines. Objectif: Explorer le phénomène du sevrage imprévu des benzodiazépines dans un cadre médical supervisé pour les personnes en cours de gestion du sevrage pour un trouble de l’utilisation des opioïdes (TUO). Méthodes: Série de cas rétrospectifs basés sur des dossiers (n=6) de personnes souffrant d’un TUO sans antécédents de consommation concomitante d’alcool ou de consommation intentionnelle de benzodiazépines, se présentant à un centre de gestion du sevrage sous surveillance médicale et présentant des signes compatibles avec un sevrage non anticipé de benzodiazépines pendant l’admission. Résultats: La durée moyenne du séjour était de 7,1 jours (intervalle=5-10), 2/6 patients ayant nécessité un transfert à l’hôpital en raison d’un sevrage suspect de benzodiazépines, et 5/6 ayant été libérés après stabilisation du sevrage suspect de benzodiazépines. Les scores du Peak Clinical Institute Withdrawal Assessment Alcohol Scale Revised (CIWA-Ar) allaient de 12 à 26 (moyenne=16,8), un patient ayant présenté une crise liée au sevrage, cinq ayant souffert de troubles perceptifs aigus, et aucun décès n’ayant été enregistré. Une hétérogénéité a été observée dans le moment et la présentation des cas présumés de sevrage aux benzodiazépines. La dose moyenne totale de benzodiazépines administrée en équivalents diazépam était de 90,8 mg (intervalle=30-150 mg) sur une moyenne de 3,8 jours. Conclusions: Lorsque les marchés de la drogue sont caractérisés par des taux élevés d’altération par des benzodiazépines (NSP), les personnes qui subissent un arrêt brutal des opioïdes non réglementés dans divers contextes - y compris celles qui ont accès à des services de gestion du sevrage - peuvent être exposées à un risque élevé de sevrage complexe aux benzodiazépines. Des approches normalisées d'évaluation et de gestion des risques sont nécessaires pour faire face à ces dommages potentiels et surveiller l'évolution des tendances associées à l’adultération.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".