Predicting and Preventing Adverse Maternal and Child Outcomes of Opioid Use Disorder in Pregnancy

March 16, 2026 updated by: Ilana Hull
This study will be a 12-month prospective, genotype-blinded longitudinal observational study with current standard of clinical care. This study will enroll 100 pregnant women with OUD at UPMC Hospitals with its high volumes. Because of the observational nature of the study, the anticipated dropout rate will be ≤ 20%. Investigators expect the effective sample size of evaluable patients will be 200 with longitudinal data.

Study Overview

Status

Recruiting

Detailed Description

Background: 7% of pregnant women in the U.S. use opioids and 21% of these women report misuse, making opioid use disorder (OUD) a major public health concern during pregnancy. The number of infants born with prenatal opioid exposure, neonatal opioid withdrawal syndrome (NOWS) and costly prolonged hospitalization has increased exponentially. The opioid epidemic is further worsened by the ongoing COVID-19 pandemic. Despite medication treatment for OUD with buprenorphine (BUP) or methadone (METH), these pregnant women continue to be at high risk for early relapse, polysubstance use, and depression. These infants are at risk for not only immediate NOWS and also poor long-term neurodevelopmental and behavioral outcomes. Genetic factors influence 30-60% of opioid adverse events (AEs). In pregnant women on medication management for OUD, and infants receiving opioids for NOWS treatment there is variability in dose required to prevent withdrawal symptoms and craving, likely related to physiological alterations, upregulation of metabolic and biological pathways, determined in part by opioid pharmacogenomics. Investigators have shown that in children and adults, opioid related poor clinical outcomes are related to opioid receptor genetic variations and resulting variations in their metabolism. Maternal depression and anxiety increase the risks for OUD, maternal relapse, NOWS and negatively impact pregnant women and their children. Thus, there is an urgent and unmet clinical need for a reliable tool to proactively predict maternal relapse, NOWS, and improve the safety of pregnant women with OUD and their children.

Study Type

Observational

Enrollment (Estimated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Pennsylvania
      • Pittsburgh, Pennsylvania, United States, 15213
        • Recruiting
        • UPMC Magee-Womens Hospital
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

This study will be a 12-month prospective, genotype-blinded longitudinal observational study with current standard of clinical care. This study will enroll 100 pregnant women with OUD at UPMC with its high volumes. Because of the observational nature of the study, the anticipated dropout rate will be ≤ 20%. We expect the effective sample size of evaluable patients will be 200 with longitudinal data.

Description

Inclusion Criteria:

  • Pregnant women with OUD and their infant
  • Currently on BUP/METH for OUD
  • Enrolled in prenatal opioid maintenance program
  • Age >18 years
  • Singleton pregnancy
  • Planned delivery at UPMC's Magee Womans Hospital
  • Positive opioid urine screen results

Exclusion Criteria:

  • Serious maternal medical illness as deemed by the PI that would make it challenging to comply with study procedures
  • HIV or AIDS
  • Known major fetal congenital abnormalities

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Pregnant women with Opioid Use Disorder (OUD)
This study will enroll 100 pregnant women with OUD at UPMC with its high volumes
Validate candidate genes- and prenatal opioid exposure- related maternal relapse and NOWS outcome associations in pregnant women and their newborns.
Other Names:
  • Opioid Use Disorder

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Incidence of maternal opioid relapse
Time Frame: Measured from enrollment to 3-months post delivery
Measured via binary response, yes/no
Measured from enrollment to 3-months post delivery
Incidence of NOWS
Time Frame: Measured at delivery
Clinical definition of NOWS: Substance withdrawal encompasses a continuum of variable clinical expression from neonate to neonate; the diagnosis is not limited only to neonates who require pharmacotherapy. Incidence of NOWS measured by binary response, yes/no
Measured at delivery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Severity of Maternal Opioid Relapse
Time Frame: Measured from enrollment to 3-months post delivery
Severity of maternal opioid relapse measured by requirement of medical treatment (binary response, yes/no)
Measured from enrollment to 3-months post delivery
Severity of NOWs
Time Frame: Measured at delivery
Severity of NOWs measured by the need for >3 days of hospital stay (binary response, yes/no)
Measured at delivery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Ilana Hull, MD, Univrsity of Pittsburgh / UPMC Magee Womens Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 28, 2023

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

July 3, 2023

First Submitted That Met QC Criteria

July 3, 2023

First Posted (Actual)

July 12, 2023

Study Record Updates

Last Update Posted (Actual)

March 19, 2026

Last Update Submitted That Met QC Criteria

March 16, 2026

Last Verified

July 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

We intend to share data that is generated from the grant at the earliest opportunities throughout this research project in counsel with our intellectual property lawyers. The details of the risk prediction algorithms will remain proprietary and will be protected as a trade secret.

IPD Sharing Time Frame

Data will become available after completion of the two-year enrollment period.

IPD Sharing Access Criteria

This information will be held in a commercial cloud-based data portal with a password and encrypted security, such as commercial sources BOX, Dropbox, Engnyte, and Sharepoint. Access to the electronic portal will only be provided after the receiving party has signed a confidentiality agreement. The data will not be downloadable but rather only allow for viewing from the cloud-supported site. This is the process used during corporate due diligence in determining the potential to invest and is an industry-accepted approach. This approach will be used for potential investors and additional collaborators on future projects.

IPD Sharing Supporting Information Type

  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

Yes

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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