Trial reportDrug and alcohol dependence2014
Hair drug testing results and self-reported drug use among primary care patients with moderate-risk illicit drug use.
Trial report in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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.
Who cites it
28 citing papers in PubMed, 63 citations in OpenAlex.
- Correlates of Validity of Self-Reported Methamphetamine Use among a Sample of Dependent Adults.Substance use & misuse · 2018Trial
- Hair analysis and its concordance with self-report for drug users presenting in emergency department.Drug and alcohol dependence · 2016Trial
- A randomized trial of computerized vs. in-person brief intervention for illicit drug use in primary care: outcomes through 12 months.Journal of substance abuse treatment · 2015Trial
- Immediate Versus Delayed Computerized Brief Intervention for Illicit Drug Misuse.Journal of addiction medicineTrial
- Substance use assessment: comparing self-reports with objective data in a research setting.Frontiers in public health · 2025Article
- Risk of Relapse Following Discharge from Non-Hospital Residential Opioid Use Disorder Treatment: A Systematic Review of Studies Published from 2018 to 2022.Substance abuse and rehabilitation · 2025Review
- Electromembrane extraction of drugs of abuse and prescription drugs from micropulverized hair.Journal of analytical toxicology · 2024Article
- Expanded taxonomies of human memory.Frontiers in cognition · 2024Review
- Oral candidiasis and cigarette, tobacco, alcohol, and opium consumption in Rafsanjan, a region in the southeast of Iran.BMC oral health · 2023Article
- On the challenges of hair testing to detect underreported substance use in research settings.The American journal of drug and alcohol abuse · 2023Article
- Interpol review of toxicology 2019-2022.Forensic science international. Synergy · 2023Review
- Article
- Prevalence of dyslipidemia and its association with opium consumption in the Rafsanjan cohort study.Scientific reports · 2022Article
- What is the prevalence of drug use in the general population? Simulating underreported and unknown use for more accurate national estimates.Annals of epidemiology · 2022Article
- The prevalence of denture stomatitis in cigarette and hookah smokers and opium addicts: findings from Rafsanjan Cohort Study.BMC oral health · 2021Article
- Validity of self-reported substance use: research setting versus primary health care setting.Substance abuse treatment, prevention, and policy · 2021Article
- Using mobile health technologies to test the association of cocaine use with sexual desire and risky sexual behaviors among people with and without HIV who use illicit stimulants.Drug and alcohol dependence · 2021Article
- Cohort-based analysis of paternal opioid use in relation to offspring's BMI and plasma lipid profile.Scientific reports · 2021Article
- Effect of opium consumption on cardiovascular diseases - a cross- sectional study based on data of Rafsanjan cohort study.BMC cardiovascular disorders · 2021Article
- Hair analysis for New Psychoactive Substances (NPS): Still far from becoming the tool to study NPS spread in the community?Toxicology reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThis study sought to examine the utility of hair testing as a research measure of drug use among individuals with moderate-risk drug use based on the internationally validated Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST).
methodsThis study is a secondary analysis using baseline data from a randomized trial of brief intervention for drug misuse, in which 360 adults with moderate-risk drug use were recruited from two community clinics in New Mexico, USA. The current study compared self-reported drug use on the ASSIST with laboratory analysis of hair samples using a standard commercially available 5-panel test with assay screening and gas chromatography/mass spectrometry (GC/MS) confirmation. Both self-report and hair testing covered a 3-month period.
resultsOverall concordance between hair testing and self-report was 57.5% (marijuana), 86.5% (cocaine), 85.8% (amphetamines), and 74.3% (opioids). Specificity of hair testing at standard laboratory cut-offs exceeded 90% for all drugs, but sensitivity of hair testing relative to self-report was low, identifying only 52.3% (127/243) of self-disclosed marijuana users, 65.2% (30/46) of cocaine users, 24.2% (8/33) of amphetamine users, and 2.9% (2/68) of opioid users. Among participants who disclosed using marijuana or cocaine in the past 3 months, participants with a negative hair test tended to report lower-frequency use of those drugs (p<.001 for marijuana and cocaine).
conclusionsHair testing can be useful in studies with moderate-risk drug users, but the potential for under-identification of low-frequency use suggests that researchers should consider employing low detection cut-offs and using hair testing in conjunction with self-report.
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What OpenQuestion holds
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.