Evidence map›Paper›PMID 41864144›Full record

ArticleAddictive behaviors2026

Drug positivity, co-detection patterns, and demographic predictors in patients seeking substance use disorder treatment, United States, 2023.

Joohyun Park, Justin K Niles, Bruce A Goldberger, Robert C Orellana, B Casey Lyons, Seung Hee Lee, Grant T Baldwin, Sohyun Park

Abstract read
In one paragraph

Article in Addictive behaviors, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Joohyun ParkDivision of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: ppw6@cdc.gov.
Justin K NilesQuest Diagnostics, Secaucus, NJ, USA.
Bruce A GoldbergerDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
Robert C OrellanaDivision of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
B Casey LyonsDivision of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Seung Hee LeeDivision of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Grant T BaldwinDivision of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sohyun ParkDivision of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo examine drug positivity, co-detection patterns, and demographic associations across 14 drug categories in patients seeking substance use disorder (SUD) treatment.

methodsThis cross-sectional study analyzed 2023 urine drug testing data from Quest Diagnostics. Included were patients aged ≥ 15 years with a valid first urine drug test result ordered by SUD treatment providers. Tests screened for 14 drug categories, including fentanyl, heroin (6-acetylmorphine only), prescription opioids, stimulants, benzodiazepines, and others. Outcomes included drug positivity, paired drug co-detection, and associations with age, sex, insurance type, and geographic region using multivariable logistic regression.

resultsAmong 99,224 patients, most were aged 35 - 54 years (46.9%), male (62.6%), on Medicaid (48.2%) or private insurance (46.5%), and resided in the Northeast (56.3%). Buprenorphine (24.5%) and fentanyl (17.5%) had the highest positivity rates, with fentanyl frequently co-detected with other substances. Patients aged ≥ 25 years had higher odds of drug positivity (adjusted odds ratio [AOR] range: 1.3 - 9.8), except for fentanyl, methamphetamine, and amphetamine. Males had higher odds of fentanyl (AOR, 1.1) and cocaine (AOR, 1.1) positivity but lower odds for most other drugs. Medicaid beneficiaries had increased odds for multiple substances, including methadone (AOR, 3.4) and buprenorphine (AOR, 1.7), versus those with private insurance. Regional variation was notable, with higher odds for buprenorphine in the Midwest and South, but lower odds for methadone compared to the Northeast.

conclusionsThis study highlights variations in substance presence and co-detection across 14 drug categories in SUD treatment patients, underscoring the need for tailored prevention and treatment strategies.

Indexed as

Substance Abuse DetectionSubstance-Related DisordersAdolescentAdultCentral Nervous System StimulantsCross-Sectional StudiesFemaleFentanylHumansMaleMiddle AgedUnited StatesYoung AdultCentral Nervous System StimulantsFentanylClinical drug testingDrug positivityPolysubstance useSubstance use disorder

Identifiers

PMID41864144
PMCPMC13178820

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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.