Rapid Micro-induction of Buprenorphine/Naloxone for Opioid Use Disorder in a Critically ill Intubated Patient: A Case Report
Bibliographic record
Abstract
BACKGROUND: Buprenorphine/naloxone has been shown to be an effective treatment of opioid use disorder. According to the Canadian National clinical practice guideline on the management of opioid use disorders, given the superior safety profile of buprenorphine/naloxone and its potential for flexible take-home dosing in comparison to other opioid agonist medication it is strongly recommended to initiate opioid agonist treatment with buprenorphine/naloxone as the preferred first-line treatment when possible. Due to its pharmacological properties induction can be challenging, requiring the cessation of all opioids for a certain amount of time to avoid the risk of precipitated withdrawal symptoms. For this reason, buprenorphine/naloxone is not initiated for the treatment of opioid use disorder in critically ill patients where continuous infusion of opioids are required for maintenance of sedation resulting in a missed opportunity for first line treatment of that patient's opioid use disorder. CASE SUMMARY: We present a case of a 29-year-old female with opioid use disorder admitted for infective endocarditis and septic shock requiring intubation for hypoxic respiratory failure secondary to bilateral lung septic emboli with a high opioid debt requiring higher than typical doses of fentanyl and dexmedetomidine infusions to maintain sedation with clinical objective sign of inadequate treatment of her pain and opioid withdrawal. She was successfully started on buprenorphine/naloxone using a rapid micro-induction technique that did not cause precipitated withdrawal or require cessation of her fentanyl infusion. CONCLUSION: This case illustrates a new method for starting buprenorphine/naloxone in a critically ill intubated patient, where buprenorphine/naloxone was never a consideration in this specific patient population. SCIENTIFIC SIGNIFICANCE: This method can be used to minimize barriers to opioid agonist therapy in intubated patients.
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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 | 0.005 |
| 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 | 0.000 |
| 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".