Observational studyJournal of general internal medicine2014
Chronic opioid therapy urine drug testing in primary care: prevalence and predictors of aberrant results.
Observational study in Journal of general internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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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.
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Who cites it
17 citing papers in PubMed, 36 citations in OpenAlex.
- Clinical Responses to Cocaine-Positive Urine Drug Screens in Patients Receiving Chronic Opioid Therapy: A Four-Patient Case Series.Orthopedic reviews · 2026Article
- Prescribing controlled substances in sleep medicine clinics: an overview of legal issues and best safety practices.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Review
- Prevalence of abnormal urine drug tests during COVID-19 pandemic in the cancer patient population: retrospective study.Pain management · 2024Article
- Do Urine Drug Tests Reveal Substance Misuse Among Patients Prescribed Opioids for Chronic Pain?Journal of general internal medicine · 2022Article
- Concurrent Use of Prescription Opioids and Gabapentinoids in Older Adults.American journal of preventive medicine · 2022Article
- Utility of the Pain Medication Questionnaire to predict aberrant urine drug tests: Results from a longitudinal cohort study.Psychological services · 2021Article
- Identifying Prevalence of and Risk Factors for Abnormal Urine Drug Tests in Cancer Pain Patients.Journal of pain and symptom management · 2021Article
- Trends in Urine Drug Testing Among Long-term Opioid Users, 2012-2018.American journal of preventive medicine · 2021Article
- Development and Performance of a Web-Based Tool to Adjust Urine Toxicology Testing Frequency: Retrospective Study.JMIR medical informatics · 2020Article
- Disagreement and Uncertainty Among Experts About how to Respond to Marijuana Use in Patients on Long-term Opioids for Chronic Pain: Results of a Delphi Study.Pain medicine (Malden, Mass.) · 2020Article
- Provider Misinterpretation, Documentation, and Follow-Up of Definitive Urine Drug Testing Results.Journal of general internal medicine · 2020Article
- History of regular nonmedical sedative and/or alcohol use differentiates substance-use patterns and consequences among chronic heroin users.Addictive behaviors · 2019Article
- The utility of universal urinary drug screening in chronic pain management.Canadian journal of pain = Revue canadienne de la douleur · 2018Article
- Cohort restriction based on prior enrollment: Examining potential biases in estimating cancer and mortality risk.Observational studies · 2016Article
- Identifying and assessing the risk of opioid abuse in patients with cancer: an integrative review.Substance abuse and rehabilitation · 2016Review
- Capsule commentary on Turner et al., chronic opioid therapy urine drug testing in primary care: prevalence and predictors of aberrant results.Journal of general internal medicine · 2015Article
- Physician Renewal of Chronically Prescribed Controlled Substances Based on Urine Drug Test Results.Journal of primary care & community healthArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundUrine drug tests (UDTs) are recommended for patients on chronic opioid therapy (COT). Knowledge of the risk factors for aberrant UDT results could help optimize their use.
objectiveTo identify primary care COT patient and opioid regimen characteristics associated with aberrant UDT results.
designPopulation-based observational. SAMPLE: 5,420 UDTs for Group Health integrated group practice COT patients. MEASURES: Group Health database measures of patient demographics, medical history, COT characteristics, and UDT results.
resultsThirty percent of UDTs had aberrant results, including prescribed opioid non-detection (12.3%), tetrahydrocannabinol (THC; 11.2%), non-prescribed opioid (5.3%), illicit drug (excluding THC; 0.6%), non-prescribed benzodiazepine (1.7%), and dilute (4.8%). Adjusted odds ratios (95% CI) of any aberrant result were higher for males than females (1.24 [1.07, 1.43]), patients with versus without prior substance use disorder diagnoses (1.42 [1.17, 1.72]), and current smokers versus non-smokers (1.50 [1.30, 1.73]). Odds ratios were lower for patients aged 45-64 (0.77 [0.65, 0.92]) and 65+ (0.40 [0.32, 0.50]) versus patients aged 20-44 and for patients on long-acting opioids only (0.72 [0.55, 0.95]) or long-acting plus short-acting (0.67 [0.54, 0.83]) versus short-acting only. Adjusted odds of prescribed opioid non-detection were lower for patients aged 45-64 (0.79 [0.63, 0.998]) and 65+ (0.44 [0.32, 0.59]) versus patients aged 20-44, for those on 40-<120 mg daily morphine-equivalent dose (0.52 [0.39, 0.70]) or 120+ mg (0.22 [0.11, 0.43]) versus <40 mg, and for patients on long-acting (0.35 [0.21, 0.57]) or long-acting plus short-acting (0.35 [0.24, 0.50]) opioids (versus short-acting only); and odds ratios were higher for patients with versus without prior diagnoses of substance use disorder (1.70 [1.31, 2.20]).
conclusionsIn this primary care setting, results were aberrant for 30% of UDTs of COT patients, largely because of prescribed opioid non-detection and THC. Aberrant results of almost all types were more likely among patients under the age of 45. Other risk factors varied across aberrancies, but commonly included current smoking and prior substance use disorder diagnosis.
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Registered trials
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.