Evidence map›Paper›PMID 26785634›Full record

ArticleDrug and alcohol dependence2016

Predictors of transition to heroin use among initially non-opioid dependent illicit pharmaceutical opioid users: A natural history study.

Robert G Carlson, Ramzi W Nahhas, Silvia S Martins, Raminta Daniulaityte

Abstract read
In one paragraph

Article 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 98 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 3 pooled it
–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

98 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Community viral load and hepatitis C virus infection: Community viral load measures to aid public health treatment efforts and program evaluation.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2020
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38 more citing papers are in PubMed but not listed here.

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.

Robert G CarlsonCenter for Interventions, Treatment, and Addiction Research, Department of Community Health, Boonshoft School of Medicine, Wright State University, 3171 Research Park Bld, Suite 124, Kettering, OH 45420, USA. Electronic address: robert.carlson@wright.edu.
Ramzi W NahhasCenter for Global Health, Department of Community Health, Boonshoft School of Medicine, Wright State University, 3123 Research Boulevard, Department of Psychiatry, 627 Edwin C. Moses Blvd., Dayton, OH 45417, USA.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Raminta DaniulaityteCenter for Interventions, Treatment, and Addiction Research, Department of Community Health, Boonshoft School of Medicine, Wright State University, 3171 Research Park Bld, Suite 124, Kettering, OH 45420, USA.

Funding

Opioid Use Trajectories and HIV Risk among Young Adults in OhioR01DA023577 · NIDA · WRIGHT STATE UNIVERSITY · PI CARLSON, ROBERT GEOFFREY · 2008 to 2012
$3.1M
NIDA NIH HHS R01 DA023577NIDA NIH HHS R01DA023577
6 · The paper itself

Abstract

backgroundIncreases in illicit pharmaceutical opioid (PO) use have been associated with risk for transition to heroin use. We identify predictors of transition to heroin use among young, illicit PO users with no history of opioid dependence or heroin use at baseline.

methodsRespondent-driven sampling recruited 383 participants; 362 returned for at least one biannual structured interview over 36 months. Cox regression was used to test for associations between lagged predictors and hazard of transition to heroin use. Potential predictors were based on those suggested in the literature. We also computed population attributable risk (PAR) and the rate of heroin transition.

resultsOver 36 months, 27 (7.5%) participants initiated heroin use; all were white, and the rate of heroin initiation was 2.8% per year (95% CI=1.9%-4.1%). Mean length of PO at first reported heroin use was 6.2 years (SD=1.9). Lifetime PO dependence (AHR=2.39, 95% CI=1.07-5.48; PAR=32%, 95% CI=-2% to 64%), early age of PO initiation (AHR=3.08, 95%; CI=1.26-7.47; PAR=30%, 95% CI=2%-59%), using illicit POs to get high but not to self-medicate a health problem (AHR=4.83, 95% CI=2.11-11.0; PAR=38%, 95% CI=12%-65%), and ever using PO non-orally most often (AHR=6.57, 95% CI=2.81-17.2; PAR=63%, 95% CI=31%-86%) were significant predictors.

conclusionThis is one of the first prospective studies to test observations from previous cross-sectional and retrospective research on the relationship between illicit PO use and heroin initiation among young, initially non-opioid dependent PO users. The results provide insights into targets for the design of urgently needed prevention interventions.

Indexed as

AdultAge FactorsCross-Sectional StudiesFemaleHeroinHeroin DependenceHumansMaleOhioOpioid-Related DisordersPrescription Drug MisuseProportional Hazards ModelsProspective StudiesRetrospective StudiesSurveys and QuestionnairesTime FactorsHeroinHeroin initiationIllicit pharmaceutical opioid useNatural history studyOpioid dependenceTime-to-event analysis

Identifiers

PMID26785634
PMCPMC4767561

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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.