Evidence map›Paper›PMID 27522871›Full record

Trial reportDrug and alcohol dependence2016

Hair analysis and its concordance with self-report for drug users presenting in emergency department.

Gaurav Sharma, Neal Oden, Paul C VanVeldhuisen, Michael P Bogenschutz

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Are Wild Boars Exposed to Triclosan and Triclocarban?Animals : an open access journal from MDPI · 2026
    Article
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  5. Article
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  9. A systematic scoping review of research on Black participants in the National Drug Abuse Treatment Clinical Trials Network.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2020
    Article
  10. Article
  11. Article
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

4 authors.

Gaurav SharmaThe Emmes Corporation, 401 North Washington Street Suite 700, Rockville, MD 20850, United States. Electronic address: gsharma@emmes.com.
Neal OdenThe Emmes Corporation, 401 North Washington Street Suite 700, Rockville, MD 20850, United States. Electronic address: noden@emmes.com.
Paul C VanVeldhuisenThe Emmes Corporation, 401 North Washington Street Suite 700, Rockville, MD 20850, United States. Electronic address: pvanveldhuisen@emmes.com.
Michael P BogenschutzNYU School of Medicine, Bellevue Hospital Center, 462 First Avenue H Building, New York, NY 10016, United States. Electronic address: Michael.Bogenschutz@nyumc.org.

Funding

Clinical Trials Network: Southwest NodeU10DA015833 · NIDA · UNIVERSITY OF NEW MEXICO · PI MCCRADY, BARBARA S · 2002 to 2014
$19.9M
NIDA NIH HHS HHSN271201400028CNIDA NIH HHS U10 DA015833
6 · The paper itself

Abstract

backgroundSecondary analysis using data from the National Drug Abuse Treatment Clinical Trials Network randomized trial (NCT # 01207791), in which 1285 adult ED patients endorsing moderate to severe problems related to drug use were recruited from 6 US academic hospitals.

objectiveTo investigate the utility of hair analysis in drug use disorder trials with infrequent visits, and its concordance with Timeline Follow Back (TLFB).

methodsThis study compared the self-reported drug use on the TLFB instrument with the biological measure of drug use from hair analysis for four major drug classes (Cannabis, Cocaine, Prescribed Opioids and Street Opioids). Both hair analysis and TLFB were conducted at 3, 6 and 12 month follow-up visit and each covered a 90-day recall period prior to the visit.

resultsThe concordance between the hair sample results and the TLFB was high for cannabis and street opioids, but was low to moderate for cocaine and prescribed opioids. Under-reporting of drug use given the positive hair sample was always significantly lower for the drug the study participant noted as their primary drug of choice compared with other drugs the participant reported taking, irrespective of whether the drug of choice was cannabis, cocaine, street opioids and prescribed opioids. Over-reporting of drug use given the negative hair sample was always significantly higher for the drug of choice, except for cocaine.

conclusionsThis study extends the literature on hair analysis supporting its use as a secondary outcome measure in clinical trials.

Indexed as

Emergency Service, HospitalSelf ReportAdultAnalgesics, OpioidCannabinoidsCannabisCocaineDrug UsersFemaleHairHumansMaleMiddle AgedReproducibility of ResultsSubstance-Related DisordersAnalgesics, OpioidCannabinoidsCocaineConcordanceDrug abuseHair sampleSelf-report

Identifiers

PMID27522871
PMCPMC5037031

What OpenQuestion holds

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Registered trials

None linked

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.