Evidence map›Paper›PMID 38232646›Full record

ArticleDrug and alcohol dependence2024

Predicting first use of heroin from prescription opioid use subtypes: Insights from the Monitoring the Future longitudinal panel.

Genevieve F Dash, Ian R Gizer, Wendy S Slutske

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Genevieve F DashDepartment of Psychological Sciences, University of Missouri, 210 McAlester Hall, 320 S. 6th Street, Columbia, MO 65211, USA. Electronic address: genevievedash@mail.missouri.edu.
Ian R GizerDepartment of Psychological Sciences, University of Missouri, 210 McAlester Hall, 320 S. 6th Street, Columbia, MO 65211, USA.
Wendy S SlutskeCenter for Tobacco Research and Intervention and Department of Family Medicine and Community Health, University of Wisconsin, 1930 Monroe St. #200, Madison, WI 53711, USA.

Funding

Disentangling unique etiologies of prescription opioid misuse and heroin use: Analysis of longitudinal, twin, and genomic dataF31DA054701 · NIDA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DASH, GENEVIEVE FULLERTON · 2021 to 2022
$92k
NIDA NIH HHS F31 DA054701
6 · The paper itself

Abstract

backgroundOnly a small proportion of individuals who initiate nonmedical use of prescription opioids (NUPO) transition to heroin, suggesting that more nuanced aspects of NUPO may be better indicators of risk for escalating opioid use trajectories. This study leveraged panel data to identify NUPO typologies based on NUPO characteristics associated with opioid risk trajectories (route of administration, motives) and compared rates of heroin initiation at follow-up across typologies.

methodsLatent class analyses were run among respondents with no history of heroin use from the Monitoring the Future Panel Study (base year N=10,408) at modal ages 18, 19/20, 21/22, 23/24, and 25/26. Indicators included oral NUPO, nonoral NUPO, and NUPO motives to experiment, have a good time with friends, get high, escape problems, manage pain, relax, and sleep. Heroin initiation at follow-ups through modal age 29/30 was predicted from class membership.

resultsNo NUPO, self-medication (oral, manage pain), recreational (oral, nonoral, experiment, get high, have a good time with friends), and mixed-motive (all routes, all motives) classes emerged. Heroin initiation rates did not differ across no NUPO and self-medication classes; recreational and mixed-motives classes initiated heroin at higher rates than the other classes and comparable rates to each other. Non-NUPO drug use prior to heroin initiation was prevalent in recreational and mixed-motive classes.

conclusionsNUPO does not uniformly or uniquely increase risk for heroin initiation. Leveraging more nuanced indicators of risk for heroin use and targeting polysubstance use in addition to opioid-specific programming may enhance the efficacy of public health efforts.

Indexed as

Opioid-Related DisordersPrescription Drug MisuseAdultAnalgesics, OpioidHeroinHumansPainPrescriptionsAnalgesics, OpioidHeroinEpidemiologyHeroinLatent class analysisLongitudinalMonitoring the FutureOpioid usePrescription opioids

Identifiers

PMID38232646
PMCPMC10842745

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Registered trials

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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.