Evidence map›Paper›PMID 39647655›Full record

ArticleAmerican journal of obstetrics and gynecology2025

Association between buprenorphine dose and outcomes among pregnant persons with opioid use disorder.

Marian Jarlenski, Wei-Hsuan LoCiganic, Qingwen Chen, Sabnum Pudasainy, Julie M Donohue, Evan S Cole, Elizabeth E Krans

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Hospital Care for Pregnant Persons With OUD Review.American journal of medicine open · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marian JarlenskiDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA; Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Electronic address: marian.jarlenski@pitt.edu.
Wei-Hsuan LoCiganicDivision of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Qingwen ChenDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA.
Sabnum PudasainyDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA.
Julie M DonohueDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA.
Evan S ColeDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA.
Elizabeth E KransMagee-Womens Research Institute, Pittsburgh, PA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA.

Funding

Availability, accessibility, and structure of opioid use disorder treatment and maternal and child health outcomesR01DA045675 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JARLENSKI, MARIAN PATRICIA, KRANS, ELIZABETH E · 2018 to 2022
$3.4M
Project STEPuP: A prenatal provider education and training program to improve medication-assisted treatment use during pregnancy and maternal and child health outcomesR01DA049759 · NIDA · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI JARLENSKI, MARIAN PATRICIA, KRANS, ELIZABETH E · 2020 to 2024
$3.0M
NIDA NIH HHS R01 DA045675NIDA NIH HHS R01 DA049759
6 · The paper itself

Abstract

backgroundOpioid use disorder contributes to maternal morbidity and mortality in the United States. Little is known about how the patterns of buprenorphine dose and duration throughout pregnancy may affect neonatal and postpartum outcomes.

objectiveTo determine the associations between trajectories of buprenorphine utilization and dose during pregnancy on maternal and neonatal health outcomes. STUDY

designRetrospective cohort study among 2925 pregnant persons with opioid use disorder, followed from the estimated start date of pregnancy through 90 days after delivery. We used administrative healthcare data from Medicaid-enrolled individuals to assess buprenorphine dose and use and maternal (postpartum buprenorphine continuation and overdose) and neonatal (low birthweight, neonatal abstinence syndrome (NAS)) outcomes. Group-based trajectory modelling was used to identify trajectories of buprenorphine dose and use during pregnancy. Weighted multivariable logistic regression assessed the association between buprenorphine trajectories and outcomes.

resultsWe identified 8 trajectories of buprenorphine utilization and dose during pregnancy. Regression analyses found that high doses of buprenorphine and a longer duration of buprenorphine use during pregnancy was associated with higher odds of postpartum buprenorphine continuation and reduced rates of overdose. Higher doses and longer duration of buprenorphine treatment were not associated with an increase in NAS or term low birth weight, relative to moderate or low doses or shorter treatment duration.

conclusionA longer duration and higher dose of buprenorphine treatment during pregnancy were associated with improved odds of postpartum buprenorphine continuation and were not associated with adverse neonatal outcomes.

Indexed as

Analgesics, OpioidBuprenorphineNarcotic AntagonistsOpiate Substitution TreatmentOpioid-Related DisordersPregnancy ComplicationsAdultDose-Response Relationship, DrugFemaleHumansInfant, Low Birth WeightInfant, NewbornLogistic ModelsNeonatal Abstinence SyndromePregnancyPregnancy OutcomeAnalgesics, OpioidBuprenorphineNarcotic Antagonistsbuprenorphinelow birthweightneonatal abstinence syndromeopioid use disordersoverdosepharmacoepidemiologypostpartum caresubstance use disorders

Identifiers

PMID39647655
PMCPMC12573191

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.