Evidence map›Paper›PMID 22959075›Full record

ArticleJournal of substance abuse treatment2013

Developmental timing of first drug treatment and 10-year patterns of drug use.

Elizabeth Evans, Libo Li, Christine Grella, Mary-Lynn Brecht, Yih-Ing Hser

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2013. 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
2.2field-weighted citation impact, top 12% of its field
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, 25 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Elizabeth EvansUCLA Integrated Substance Abuse Programs, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90025, USA. laevans@ucla.edu
Libo Li
Christine Grella
Mary-Lynn Brecht
Yih-Ing Hser
University of California, Los Angeles · US

Funding

STATISTICAL SUPPORT/DATA MANAGEMENT COREP30DA016383 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2005 to 2015
$8.6M
Drug Abuse: Epidemiology, Treatment Process, & OutcomesK05DA017648 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2008 to 2012
$569k
NIDA NIH HHS K05 DA017648NIDA NIH HHS K05DA017648NIDA NIH HHS P30 DA016383NIDA NIH HHS P30DA016383
6 · The paper itself

Abstract

To examine the developmental timing of first drug treatment and its associations with 10-year drug use patterns, pooled data (N=1318) from four longitudinal studies conducted in California was used to compare individuals first treated during young adulthood (26%) to those first treated at an older age. Treatment timing was associated with particular participant characteristics and experiences. Matched data showed that most people in both age groups exhibited a low level of drug use after first treatment, albeit fewer who were first treated during young adulthood maintained a low drug use level over time. Receipt of more drug treatment over 10 years was associated with maintenance of low drug use levels among those first treated as young adults, but not among those first treated as older adults. Developmental timing of first drug treatment interacts with subsequent treatment experiences in ways that impact the course of drug use.

Indexed as

AdolescentAdultAge FactorsAmphetamine-Related DisordersCaliforniaClimactericCocaine-Related DisordersFemaleHumansInterview, PsychologicalLongitudinal StudiesMaleRecurrenceSubstance Abuse Treatment CentersSubstance-Related DisordersTime Factors

Identifiers

PMID22959075
PMCPMC3519944
OpenAlexW2082827880

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.