Managing newborns at risk for neonatal abstinence syndrome (NAS)/neonatal opioid withdrawal syndrome (NOWS): Updates and emerging best practices
Bibliographic record
Abstract
The incidence of newborns at risk for withdrawal due to antenatal substance exposure has increased rapidly, presenting significant health and early developmental concerns. Access to culturally safer, trauma-informed prenatal care and support for opioid consumption improves health outcomes for both the mother/birthing parent and the fetus. Newborns are at high risk for experiencing symptoms of abstinence or withdrawal that require assessment and non-pharmacological support in the early neonatal period and may go on to require pharmacological treatment. This position statement focuses specifically on women/persons with a substance-exposed pregnancy (SEP) who are taking opioids, their newborns, and the effects of withdrawal and management strategies on newborns. This statement is inclusive of all families, as defined and determined for themselves and representing many structures and identities. Health care team communication, language, and terminology must be culturally safer, trauma-informed, and individualized to meet each family's needs and expressed identity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".