A Case Report: Rapid Micro‐Induction of Buprenorphine/Naloxone to Administer Buprenorphine Extended‐Release in an Adolescent With Severe Opioid Use Disorder
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Buprenorphine extended-release (BUP-XR) is a monthly injectable form of opioid agonist therapy. Before its administration, a minimum 7-day induction period with a transmucosal buprenorphine-containing product is recommended. METHODS: Case report (n = 1). RESULTS: A 16-year-old female with active, severe opioid use disorder (OUD) and stimulant use disorder, hepatitis C virus, co-occurring mental health disorders, and complex social stressors had five recent overdoses requiring naloxone. She had previously been treated with methadone and several trials of sublingual buprenorphine/naloxone, but would quickly discontinue the treatment. Using a rapid micro-induction protocol, buprenorphine/naloxone was administered for 3 days. On day 4, 300 mg BUP-XR was administered subcutaneously. Minimal withdrawal symptoms occurred, despite recent fentanyl use. DISCUSSION AND CONCLUSIONS: A rapid sublingual buprenorphine/naloxone micro-induction was successfully used to initiate BUP-XR, thereby eliminating the abstinence period prior to buprenorphine/naloxone administration, shortening the induction period, and minimizing withdrawal. SCIENTIFIC SIGNIFICANCE: This is the first reported case of using rapid micro-induction as a bridge to initiate BUP-XR. By reducing the length of induction to 4 days and minimizing withdrawal, this induction method can make BUP-XR more accessible to patients who would otherwise refuse the medication due to concerns of enduring withdrawal. (Am J Addict 2020;29:531-535).
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".