Evidence map›Paper›PMID 41924766›Full record

ArticlePsychiatry research2026

Prescription opioid use and 12-month depression trajectories.

Jeffrey F Scherrer, Joanne Salas, Aniketh Naidu, Scott Secrest, Lauren Wilson, Celeste Pappas, Patrick J Lustman, Brian Ahmedani, Ryan W Carpenter, Lisa R Miller-Matero and 1 more

Abstract read
In one paragraph

Article in Psychiatry research, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jeffrey F ScherrerDepartment of Family and Community Medicine, Saint Louis University School of Medicine, 1008 S. Spring SLUCare Academic Pavilion, 3rd Floor, St. Louis, MO 63110, USA; Advanced HEAlth Data (AHEAD) Research Institute, Saint Louis University School of Medicine, 3545 Lafayette Ave, 4th Floor, St. Louis, MO 63104, USA; Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, 1438 South Grand Blvd. St. Louis, MO 63104, USA. Electronic address: jeffrey.scherrer@health.slu.edu.
Joanne SalasAdvanced HEAlth Data (AHEAD) Research Institute, Saint Louis University School of Medicine, 3545 Lafayette Ave, 4th Floor, St. Louis, MO 63104, USA; Department of Health and Clinical Outcomes Research, Saint Louis University School of Medicine, 3545 Lafayette Ave, 4th Floor, St. Louis, MO 63104, USA.
Aniketh NaiduDepartment of Family and Community Medicine, Saint Louis University School of Medicine, 1008 S. Spring SLUCare Academic Pavilion, 3rd Floor, St. Louis, MO 63110, USA.
Scott SecrestDepartment of Family and Community Medicine, Saint Louis University School of Medicine, 1008 S. Spring SLUCare Academic Pavilion, 3rd Floor, St. Louis, MO 63110, USA.
Lauren WilsonDepartment of Family and Community Medicine, Saint Louis University School of Medicine, 1008 S. Spring SLUCare Academic Pavilion, 3rd Floor, St. Louis, MO 63110, USA.
Celeste PappasCenter for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health, One Ford Place, Detroit, MI 48202, USA.
Patrick J LustmanDepartment of Psychiatry, Washington University School of Medicine, 4320 Forest Park Blvd, Suite 301, St. Louis, MO 63108, USA.
Brian AhmedaniCenter for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health, One Ford Place, Detroit, MI 48202, USA.
Ryan W CarpenterDepartment of Psychology, University of Notre Dame, 390 Corbett Family Hall, Notre Dame, IN 46556, USA.
Lisa R Miller-MateroCenter for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health, One Ford Place, Detroit, MI 48202, USA.
Mark D SullivanDepartment of Psychiatry and Behavioral Science, University of Washington School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA.

Funding

Pathways from Chronic Prescription Opioid Use to New Onset Mood DisorderR01DA043811 · NIDA · SAINT LOUIS UNIVERSITY · PI SCHERRER, JEFFREY F. · 2019 to 2023
$3.2M
NIDA NIH HHS R01 DA043811
6 · The paper itself

Abstract

introductionRetrospective cohort studies indicate prescription opioids increase risk for depression. No prospective cohort studies have modeled prescription opioid use and depression trajectories. We determined whether daily vs. non-daily prescription opioid use was associated with more severe and worsening depression.

methodsParticipants with a new period of prescription opioid use were recruited from two health care systems. Those who enrolled were invited to complete twelve-monthly surveys over a year follow-up. Depression was measured with the PHQ-9, and opioid use was self-reported. From the 760 participants with 3 or more monthly surveys, we computed PHQ-9 latent growth trajectories. A 3-class solution best fit the data and revealed a severe-increasing depression trajectory, a moderate-stable, and a low-decreasing trajectory.

resultsParticipants were 53.6 ± 11.7 years of age, 68.5% were female and 70.5% identified as white race. Daily vs. non-daily opioid use was not significantly associated with depression trajectories. Higher emotional support (OR=0.92:95%CI:0.89-0.94) and ability to participate in social roles (OR=0.96; 95%CI:0.93-0.99) protected against, while pain related functional impairment (OR=1.39; 95%CI: 1.11-1.74), more pain sites (OR=1.20; 95%CI: 1.10-1.31) and smoking (OR=2.38; 95%CI:1.27-4.47) increased the likelihood of severe-increasing depression compared to low-decreasing depression.

conclusionsThe lack of an independent link between daily opioid use and worsening or more severe depression in this sample suggests that increased rates of depression in daily opioid-exposed patients may be a result of high risk patients receiving daily opioids rather than a direct effect of the opioid exposure. Screening for factors related to depression should improve safer opioid prescribing.

Indexed as

Analgesics, OpioidDepressionOpioid-Related DisordersAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedAnalgesics, OpioidCohortDepressionEpidemiologyOpioidPainProspectiveTrajectory

Identifiers

PMID41924766
PMCPMC13267013

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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.