Evidence map›Paper›PMID 42025510›Full record

ArticleDrug and alcohol dependence2026

Opioid use disorder and medication for opioid use disorder among pregnant women with commercial insurance in the United States, 2016-2020.

S S Martins, Y Huang, W Fan, L E Segura, E Bruzelius, M E Marziali, A Khan, M M Philbin

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

S S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA. Electronic address: ssm2183@cumc.columbia.edu.
Y HuangDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA; Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, USA.
W FanDepartment of Biostatistics, Columbia University Mailman School of Public Health, USA.
L E SeguraDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA.
E BruzeliusDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA.
M E MarzialiDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA.
A KhanDepartment of Epidemiology, Columbia University Mailman School of Public Health, USA.
M M PhilbinDivision of Health and Society, Department of Medicine, School of Medicine, University of California San Francisco, USA.

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
State-level opioid policies and policies that regulate substance use duringpregnancy: a mixed methods exploration of their effects on maternal and infantoutcomesR01DA053745 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Silvia Saboia Martins, Morgan Mari Philbin · 2022 to 2026
$3.8M
Dissecting the role of loneliness on substance use- and HIV-related outcomes among sexual minority men in the United States and CanadaR36DA061635 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARZIALI, MEGAN ELYSSA · 2024 to 2025
$103k
NIDA NIH HHS R01 DA053745NIDA NIH HHS R36 DA061635NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

objectiveTo examine the prevalence of opioid use disorder (OUD) diagnosis and medications for OUD (MOUD), which includes methadone, buprenorphine, and naltrexone, during pregnancy, and examine pre-pregnancy clinical factors associated with MOUD receipt in a nationwide commercial insurance database. STUDY

designWe utilized data from Marketscan to identify pregnancies among women aged 15-54 years from 2016 to 2020. Individuals were included if they had consecutive enrollment from 90 days before the estimated last menstrual period (LMP) through 90 days postpartum. OUD and MOUD were identified using International Classification of Diseases (ICD) codes and pharmaceutical claims or Healthcare Common Procedure Coding System (HCPCS) codes. Multivariable Poisson regression was used to examine demographic and pre-pregnancy clinical factors associated with MOUD.

resultsWe identified 909,241 total pregnancies, among which 2926 (0.3%) individuals had an OUD diagnosis during pregnancy or postpartum. Among women diagnosed pre- or during pregnancy with OUD (n = 2346), 1014 (40.2%) received MOUD. Demographic and clinical factors positively associated with an OUD diagnosis included younger age and non-metropolitan statistical area (MSA) residence. Factors negatively associated with MOUD receipt during pregnancy included co-occurring chronic pain or concurrent substance use disorder diagnosis other than OUD. Having two or more mental health disorders was positively associated with MOUD receipt.

conclusionLess than half of pregnant women with OUD received MOUD, the gold standard for treatment. Our results demonstrate substantial missed opportunities for MOUD treatment during pregnancy, highlighting the need for targeted interventions to improve evidence-based perinatal OUD care.

Indexed as

Opiate Substitution TreatmentOpioid-Related DisordersPregnancy ComplicationsAdolescentAdultBuprenorphineFemaleHumansInsurance, HealthMethadoneMiddle AgedNaltrexoneNarcotic AntagonistsPregnancyPrevalenceUnited StatesBuprenorphineMethadoneNaltrexoneNarcotic AntagonistsCommercial InsuranceMedication for Opioid Use DisorderOpioid Use DisorderPregnancy

Identifiers

PMID42025510
PMCPMC13494840

What OpenQuestion holds

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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.