Evidence map›Paper›PMID 40988859›Full record

ArticleDrug and alcohol dependence reports2025

Opioid biomarkers in urine as reliable and valid correlates of opium use characteristics: A 10-year longitudinal assessment.

Mahdokht Naghash, Rebecca L Shaner, Hossein Poustchi, Gholamreza Roshandel, Katrice D Williams, Abraham Tuachi, Farin Kamangar, Paolo Boffetta, Christian C Abnet, Elizabeth I Hamelin and 3 more

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2025. 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

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

13 authors.

Mahdokht NaghashDigestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Rebecca L ShanerEmergency Response Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Hossein PoustchiLiver and Pancreaticobiliary Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Gholamreza RoshandelGolestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran.
Katrice D WilliamsBattelle Memorial Institute at the Centers for Disease Control and Prevention, Atlanta, GA, United States.
Abraham TuachiBattelle Memorial Institute at the Centers for Disease Control and Prevention, Atlanta, GA, United States.
Farin KamangarDepartment of Biology, School of Computer, Mathematical, and Natural Sciences, Morgan State University, Baltimore, MD, United States.
Paolo BoffettaStony Brook Cancer Center, Stony Brook University, Stony Brook, New York, United States.
Christian C AbnetMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, United States.
Elizabeth I HamelinEmergency Response Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Neal D FreedmanTobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD, United States.
Reza MalekzadehDigestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Arash EtemadiMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biomarkers can clarify the mechanistic bases of health effects associated with opiate use and improve evaluating dose-response relationships by quantifying the absorbed dose through different routes and patterns of use, supporting the generalizability of opium research findings to broader opioid use. Methods: We recruited 449 individuals who used opium and 66 individuals who did not, 10 years after baseline evaluation in a cohort study. At both time points, we collected self-reported characteristics of opium use (route, frequency, type, and dose) and measured urinary concentrations of codeine, hydrocodone, hydromorphone, morphine, morphine-3-glucuronide, and morphine-6-glucuronide in spot urine samples. We used multivariate linear regression models to determine the independent effects of each opium use characteristic on biomarker concentrations. Reliability of biomarker concentrations over the 10-year interval was assessed using intraclass correlation coefficients (ICCs) from linear mixed-effect models. Results: At the follow-up, 229 (51.0 %) subjects used opium by ingestion, which showed a significant shift compared with baseline (24.4 % ingestion). In adjusted models, opium ingestion, daily use, and presence of opioid use disorder (OUD) were associated with higher concentrations of all opioid biomarkers compared with opium smoking, non-daily use, and absence of OUD, respectively. All opioid biomarkers showed significant dose-response relationships relative to self-reported doses. Biomarker concentrations peaked when opium was used 3-4 h before sample collection and declined afterwards, remaining detectable for several days. Biomarker measurements were reliable (ICCs between 0.69 and 0.78) over the 10-year interval. Conclusions: Opioid biomarkers are valid markers of lifetime history, route, frequency, dose, and recency of opium use and OUD diagnosis, and demonstrate good long-term reliability.

Indexed as

Opioid biomarkersOpioid use disorderOpiumSelf-reports

Identifiers

PMID40988859
PMCPMC12451287

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