Evidence map›Paper›PMID 42596912›Full record

ArticlePregnancy (Hoboken, N.J.)2026

Co-occurring opioid and stimulant use disorder and the relationship to severe maternal morbidity.

Tucker E Doiron, Noor Al-Hammadi, Alexandra R Schroeder, Niraj R Chavan

Abstract read
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tucker E DoironDivision of Maternal-Fetal Medicine Department of Obstetrics and Gynecology Saint Louis University/SSM Health St Louis Missouri USA.ORCID https://orcid.org/0009-0002-4632-0248
Noor Al-HammadiDepartment of Health and Clinical Outcomes Research Advanced Health Data Research Institute Saint Louis University St Louis Missouri USA.
Alexandra R SchroederDivision of Maternal-Fetal Medicine Department of Obstetrics and Gynecology Saint Louis University/SSM Health St Louis Missouri USA.ORCID https://orcid.org/0000-0002-5126-3260
Niraj R ChavanDivision of Maternal-Fetal Medicine Department of Obstetrics and Gynecology Saint Louis University/SSM Health St Louis Missouri USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To evaluate the impact of the use of opioids, stimulants, or both on the rates of various severe maternal morbidity (SMM) events during inpatient delivery-related hospitalizations among patients with substance use disorder (SUD). Methods: We performed a cross-sectional analysis of inpatient pregnancy hospitalizations from the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) from 2016 to 2022. Hospital and core files were linked and cross-referenced for demographic information. International classification of diseases (ICD) 10 codes were used to identify patients with SUD who had an SMM event during a delivery hospitalization. SMM was defined as a composite of individual maternal morbidity diagnoses, as characterized by the centers for disease control (CDC). Survey-weighted multivariable logistic regression models estimated the adjusted odds of SMM among delivery hospitalizations of patients with opioid use disorder (OUD), stimulant use disorder (StUD), or co-occurring OUD and StUD, using delivery hospitalizations of patients without any SUD as the reference group. Models adjusted for maternal age, race/ethnicity, primary insurance payer, household income quartile, hospital region, hospital location and teaching status, hospital bed size, cohort year, and Elixhauser comorbidity score. Prevalence of composite SMM and individual SMM events was compared across exposure groups using Rao-Scott chi-square tests. Results: Of the 4,804,219 delivery-related inpatient pregnancy hospitalizations over the study period, 45,671 admissions were identified as having SUD with either opioids (28,464), stimulants (13,920), or both (3287). There was an increasing trend of StUD from 2016 to 2021 ( Conclusion: Pregnant people with co-occurring OUD and StUD are at a significantly increased risk of SMM overall, as well as risk of certain individual SMM events as compared to those with OUD or StUD alone.

Indexed as

opioidpolysubstance usesevere maternal morbiditystimulantsubstance use disorder

Identifiers

PMID42596912
PMCPMC13344222

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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.