Outpatient Rapid Titration of Slow Release Oral Morphine for the Treatment of Opioid Use Disorder in a Canadian Setting: A Case Series
Bibliographic record
Abstract
INTRODUCTION: In the midst of unprecedented opioid overdose deaths, opioid agonist therapy induction strategies that allow for rapid titration to therapeutic doses for individuals at high risk of overdose are needed. Slow release oral morphine (SROM) is an effective treatment for opioid use disorder; however, current guideline-recommended titration strategies require weeks to achieve therapeutic dose for individuals with high opioid tolerance. Individuals may be lost to care or experience overdose due to ongoing use of unregulated opioids during this time. After years of experience titrating SROM doses rapidly in the inpatient setting, we developed a protocol using short-acting morphine (MOS) to allow for rapid SROM titration in the outpatient setting. CASES: Patients (n = 4) were eligible if they met the criteria for opioid use disorder and had evidence of high opioid tolerance. Patients received supervised MOS doses in the outpatient setting, which were consolidated into a 12-hour extended-release morphine dose (to a maximum of 500 mg) on the evening of the titration. The total titration-day MOS and 12-hour extended-release morphine were summed into the post-titration-day SROM dose, to a maximum of 1000 mg. DISCUSSION: In the cases described, substantial reductions in unregulated fentanyl use and social gains, such as obtaining housing, employment, and enrollment in inpatient treatment programs, were observed after rapid SROM titration. No overdoses occurred during rapid SROM titration or during SROM treatment. More research is needed to determine the role for rapid SROM titrations as a stabilization option for outpatients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".