A Case Report: Rapid Micro‐Induction of Buprenorphine/Naloxone to Administer Buprenorphine Extended‐Release in an Adolescent With Severe Opioid Use Disorder
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it