Breastfeeding on Injectable Opioid Agonist Therapy: A Case Report
Bibliographic record
Abstract
BACKGROUND: Injectable opioid agonist therapy (iOAT) is the highest-intensity treatment currently available in Canada for individuals with severe opioid use disorder. However, there is limited data on iOAT administration in the perinatal period, with no research, practice guidelines, or known reports of breastfeeding on iOAT. This article presents the first known case of an individual breastfeeding on iOAT. CASE SUMMARY: We present a case of a pregnant 32-year-old woman from Canada with severe opioid use disorder, who stabilized with iOAT and chose to breastfeed her infant. She presented to hospital at 38 + 6 gestation in labor, unstable in her substance use disorder despite multiple interventions and was initiated on iOAT (intravenous hydromorphone) shortly after delivery. Before initiation of breastfeeding the infant was admitted to the neonatal intensive care unit for monitoring. On day 9 of life the infant received breastmilk for the first time, and was discharged from neonatal intensive care unit on day 12 of life with no clinical evidence of sedation or respiratory depression. The infant maintained mixed feeding and at 58 days of life was discharged in the mother and father's care, a healthy infant with stable vitals. DISCUSSION: This case suggests positive infant and maternal health and social outcomes for breastfeeding on iOAT. Further research on perinatal iOAT use and the pharmacokinetics of high-dose hydromorphone in breastmilk is required to inform clinical practice guidelines to safely support individuals and their infants who are impacted by substance use.
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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 | 0.002 | 0.001 |
| 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) | 0.002 | 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".