Severe Benzodiazepine Use Disorder in a 16-Year-Old Adolescent: A Rapid and Safe Inpatient Taper
Bibliographic record
Abstract
We describe the case of a 16-year-old boy with a 1-year history of severe benzodiazepine misuse. After being denied access to several treatment programs and hospital centers that felt unprepared to manage benzodiazepine use disorder and withdrawal in an adolescent, the patient was admitted to a tertiary pediatric unit for rapid inpatient tapering and detoxification. The patient was hospitalized for 13 days and received decreasing doses of diazepam under close monitoring of withdrawal symptoms. The taper was well tolerated, and the patient was transferred to a youth residential substance use treatment center, where he completed a successful 2-month placement. This case highlights the lack of adolescent-friendly facilities allowing safe tapering of rapid-acting benzodiazepines in North America. Given high rates of benzodiazepine misuse among youth and the risks associated with benzodiazepine misuse and withdrawal, there is a critical need for more research, provider training, and dedicated resources in this area.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.003 | 0.005 |
| 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".