Evidence map›Paper›PMID 40621581›Full record

ArticleComplex psychiatry

Prescription Opioid Medication Survey: A Tool to Collect Deep Phenotypic Data on the Multifactorial Pathways to Opioid Use Disorder in Clinical and Population-Based Cohorts.

Natasia S Courchesne-Krak, Anirudh R Chandrasekaran, Jean Gonzalez, Sevim B Bianchi, Vinh Tran, Eric O Johnson, Vanessa Troiani, John M Hettema, Murray B Stein, Hilary Coon and 7 more

Abstract read
In one paragraph

Article in Complex psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

17 authors.

Natasia S Courchesne-KrakDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Anirudh R ChandrasekaranDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Jean GonzalezDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Sevim B BianchiDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Vinh Tran23andMe, Sunnyvale, CA, USA.
Eric O JohnsonResearch Triangle Institute, Research Triangle Park, Durham, NC, USA.
Vanessa TroianiDepartment of Developmental Medicine, Geisinger, Lewisburg, PA, USA.
John M HettemaPsychiatry and Behavioral Sciences, Texas A&M Health Sciences Center, Bryan, TX, USA.
Murray B SteinDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Hilary CoonDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Anna R DochertyDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Wade H BerretiniDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
James MacKillopDepartment of Psychiatry and Behavioral Neuroscience, McMaster University, Hamilton, ON, Canada.
Harriet de WitDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.
Carla MarienfeldDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Abraham A PalmerDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Sandra Sanchez-RoigeDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.

Funding

Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI IDEKER, TREY · 2014 to 2023
$27.4M
Synergy Core (SynC)P50DA054071 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI Eric Otto Johnson · 2022 to 2026
$13.1M
Using the Genetic Architecture of Substance Use Disorders to Advance Gene Identification and Understanding of Pathways of RiskR01DA050721 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DANIELLE M DICK · 2020 to 2026
$3.9M
Building Bridges to Allow Cross-species Translational genetics for the Study of AddictionDP1DA054394 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANCHEZ ROIGE, SANDRA · 2021 to 2025
$2.4M
Graduate Training Program in BioinformaticsT32GM139790 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, GAASTERLAND, THERESA · 2021 to 2025
$2.1M
Multivariate genome-wide association analysis of opioid-related traits in half a million diverse individualsR01DA061977 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sandra Sanchez Roige · 2025 to 2026
$1.6M
NIAAA NIH HHS L40 AA031140NIDA NIH HHS DP1 DA054394NIDA NIH HHS P50 DA037844NIDA NIH HHS P50 DA054071NIDA NIH HHS R01 DA050721NIDA NIH HHS R01 DA061977NIGMS NIH HHS T32 GM139790
6 · The paper itself

Abstract

Introduction: We are in the midst of an opioid epidemic. In the USA, more than a third of the country knows someone who has died from an opioid overdose. Prescription opioids (e.g., oxycodone, hydrocodone, and fentanyl) are commonly used and misused, and it has been estimated that approximately 8-12% of individuals who misuse opioids will subsequently develop an opioid use disorder (OUD). While emphasis has been placed on understanding OUD and the associated adverse effects, there remains a critical gap in systematically characterizing the multifactorial pathways (e.g., behavioral, clinical, genetic, and socio-demographic characteristics) that contribute to the transition from initial use to misuse to OUD. Methods: To address this gap, we introduce the Prescription Opioid Medication Survey (POMS), an online 120-item assessment that compiles multiple validated and standardized instruments. POMS is intended for individuals with any lifetime prescription opioid use. POMS captures various aspects of prescription opioid use including data on opioid use patterns, subjective effects (e.g., euphoria, nausea), problematic use, withdrawal, OUD, overdose, treatment history, and remission. It also addresses comorbid risk factors such as surgical history, chronic pain, other substance use disorders (SUD; e.g., nicotine, alcohol, cannabis, stimulants), other addictive behaviors (i.e., gambling, sexual behaviors, and gaming), and family history of SUD and other addictive behaviors. Mental health assessments, including screening for depression and anxiety, self-reports of eight psychiatric disorders (anxiety, depression, bipolar, schizophrenia, attention-deficit/hyperactivity disorder, post-traumatic stress disorder, obsessive-compulsive disorder, eating disorders), and related mental health conditions (e.g., loneliness, suicide, trauma) are included, along with data on personality traits (e.g., risk-taking, delay discounting, wisdom) and socio-demographic factors. POMS is intended to be administered in clinical settings and large population-based cohorts, facilitating data collection that can enable discoveries to inform better prevention and intervention strategies for OUD. Conclusion: POMS offers a comprehensive tool for systematically capturing the multifactorial risk factors associated with opioid misuse and OUD, providing insights that can inform prevention and intervention strategies.

Indexed as

Opioid addictionOpioid use disorderPre-addictionPrescription Opioid Medication SurveyProblematic opioid use screening

Identifiers

PMID40621581
PMCPMC12226013

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.