Evidence map›Paper›PMID 23313146›Full record

ArticleJournal of substance abuse treatment

Patterns of treatment utilization and methamphetamine use during first 10 years after methamphetamine initiation.

Mary-Lynn Brecht, Katherine Lovinger, Diane M Herbeck, Darren Urada

Abstract read
In one paragraph

Article in Journal of substance abuse treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Review
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  8. Article
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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

4 authors.

Mary-Lynn BrechtUCLA Integrated Substance Abuse Programs, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90025, USA. lbrecht@ucla.edu
Katherine Lovinger
Diane M Herbeck
Darren Urada

Funding

STATISTICAL SUPPORT/DATA MANAGEMENT COREP30DA016383 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2005 to 2015
$8.6M
Methamphetamine Abuse: Long-Term Trajectories, Correlates, Treatment EffectsR01DA025113 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRECHT, MARY-LYNN · 2009 to 2012
$2.3M
METHAMPHETAMINE ABUSE--NATURAL HISTORY,TREATMENT EFFECTSR01DA011020 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRECHT, MARY-LYNN · 1998 to 2003
$1.9M
NIDA NIH HHS P30 DA016383NIDA NIH HHS R01 DA011020NIDA NIH HHS R01 DA025113NIDA NIH HHS R01-DA025113NIDA NIH HHS R01-DA11020
6 · The paper itself

Abstract

The study examined joint trajectories of methamphetamine (MA) use and substance abuse treatment utilization and identified differences among pattern groups for a sample of 348 treated for MA use. Results from group-based trajectory modeling showed that treatment utilization during the first 10 years after initiation of MA use could be categorized into three distinctive patterns: about half the MA users have a pattern of low treatment utilization; one-fourth follow a quicker-to-treatment trajectory with higher probability of treatment during the first 5 years of MA use and less treatment in the next 5 years; and one-fourth have a slower-to-treatment trajectory with more treatment during the second half of the 10-year period. Four MA use patterns were identified: consistently low use, moderate, and high use, as well as a decreasing use pattern. Periods of greater likelihood of treatment participation were associated with periods of decreasing or lower frequency of MA use.

Indexed as

Models, TheoreticalAdultAmphetamine-Related DisordersFemaleFollow-Up StudiesHumansMaleMethamphetamineSubstance Abuse Treatment CentersTime FactorsTreatment OutcomeMethamphetamine

Identifiers

PMID23313146
PMCPMC3602162

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.