Patient With Very High Opioid Tolerance Enrolled in Opioid Agonist Treatment: A Case Report
Bibliographic record
Abstract
BACKGROUND: Fentanyl and fentanyl analogs have invaded the street-sourced opioid market in North America which has resulted in an unprecedented number of unintentional opioid overdoses. Existing guidelines to treat opioid use disorder are based on evidence that was developed when heroin was the primary street-sourced opioid and proposed dosages of opioid agonist treatments are increasingly inadequate to address patients with high opioid tolerances. CASE SUMMARY: The authors examine one case study of a patient with an extremely high opioid tolerance and review how responsive dose adjustments outside of the recognized maximum doses allowed for meaningful functional outcomes. DISCUSSION: This case demonstrates how patient-centered dose responses with a focus on functional outcomes supersede existing opioids agonist treatment dosing ranges, especially in the context of a patient with a higher than typical opioid tolerance.
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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) | 0.001 | 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) | 0.001 | 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".