A Review on Acupuncture as a Non-Pharmacological Treatment for Neonatal Abstinence Syndrome (NAS)
Bibliographic record
Abstract
The incidence of Neonatal Abstinence Syndrome (NAS) is increasing due to more mothers using illicit drugs. This results in an increase in costs and resources for the healthcare system. Newborns with NAS might experience withdrawal symptoms that can cause pain, distress, and may potentially increase the risk of future health complications. It is therefore important to find effective treatments that can alleviate NAS. Various non-pharmacological treatments are used in conjunction with pharmacological treatments to reduce the length of hospital stay and duration of drug treatment. The objective of our review is to assess the safety and efficacy of acupuncture. PubMed, and Google scholar were searched using the terms: ‘acupuncture’, ‘acupressure’, ‘auricular therapy’, ‘infant’, ‘neonatal abstinence syndrome’, ‘complementary medicine’, and ‘neonatal withdrawal’. We included eight studies examining safety and efficacy of acupuncture for NAS. Results showed that acupuncture is safe. However, its efficacy is inconclusive and more studies are needed to confirm acupuncture’s efficacy as a treatment for NAS.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".