Initiation and Dosing of Extended-Release Buprenorphine: A Narrative Review of Emerging Approaches for Patients Who Use Fentanyl
Bibliographic record
Abstract
Individuals with Opioid Use Disorder (OUD) who use fentanyl are at high risk of mortality due to opioid-related overdose. While buprenorphine extended-release (BUP-XR) may reduce this risk, there is a need to optimize clinical practice with BUP-XR to overcome barriers to treatment initiation and retention in patients who use fentanyl. Through a narrative review of evidence from peer-reviewed publications and conference abstracts, this article provides an overview of current novel initiation and dosing strategies for BUP-XR in patient populations with confirmed or presumed use of fentanyl. Evidence in this area is rapidly emerging with multiple studies describing BUP-XR initiation prior to 7-day stabilization on transmucosal buprenorphine (TM-BUP). Results from a randomized controlled study indicate that initiating BUP-XR following a single TM-BUP dose is noninferior to standard initiation in terms of treatment retention at injection 2, with similar rates of precipitated withdrawal and adverse events, and this protocol is now included in the approved prescribing information in the USA. While additional "macro/high-dose" or "micro/low-dose" and "direct dose" induction approaches have also been reported, evidence for these is limited to small uncontrolled studies or case reports. Consistent with evidence from studies of TM-BUP, which suggests individuals who use fentanyl may require higher maintenance doses in order to be retained in treatment, administrative and observational data suggests that use of the 300-mg maintenance dose, shortened intervals between doses, and supplemental TM-BUP may be feasible approaches to increase buprenorphine exposure in patients with ongoing symptoms and improve retention. Evidence in this area is rapidly evolving, and many of these strategies are increasingly being adopted clinically and incorporated into clinical guidelines. Further research should incorporate increased sample sizes, broader and more consistent outcome measurement, and increased duration of follow-up to facilitate more robust evaluation of efficacy and safety as well as increase comparability between studies.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".