Evidence map›Paper›PMID 23273776›Full record

Trial reportDrug and alcohol dependence2013

Predictors of stimulant abuse treatment outcomes in severely mentally ill outpatients.

Frank N Angelo, Michael G McDonell, Michael R Lewin, Debra Srebnik, Jessica Lowe, John Roll, Richard Ries

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
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

7 authors at 3 institutions in 1 country.

Frank N AngeloDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98104, United States.
Michael G McDonell
Michael R Lewin
Debra Srebnik
Jessica Lowe
John Roll
Richard Ries
University of Washington · USCalifornia State University, San Bernardino · USWashington State University Spokane · US

Funding

Novel EtG BasedContingency Management for Alcohol in the Severely Mentally IllR01AA020248 · NIAAA · WASHINGTON STATE UNIVERSITY · PI MCDONELL, MICHAEL G · 2012 to 2021
$4.6M
Contingency Management of Psychostimulant Abuse in the Severely Mentally IllR01DA022476 · NIDA · UNIVERSITY OF WASHINGTON · PI RIES, RICHARD K · 2007 to 2010
$1.9M
NIAAA NIH HHS R01 AA020248NIAAA NIH HHS R01AA02024801A1NIDA NIH HHS 5R01DA022476-07NIDA NIH HHS R01 DA022476
6 · The paper itself

Abstract

backgroundSevere mental illness is often exclusionary criteria for studies examining factors that influence addiction treatment outcome. Therefore, little is known about predictors of treatment response of individuals receiving psychosocial treatments for addictions who suffer from co-occurring severe mental illness.

methodsThe impact of demographic, substance abuse severity, psychiatric severity, and service utilization variables on in-treatment performance (i.e., longest duration of abstinence) in a 12-week contingency management (CM) intervention for stimulant abuse in 96 severely mentally ill adults was investigated. A 4-step linear regression was used to identify independent predictors of in-treatment abstinence.

resultsThis model accounted for 37.4% of variance in the longest duration of abstinence outcome. Lower levels of stimulant use (i.e., stimulant-negative urine test) and psychiatric severity (i.e., lower levels of psychiatric distress), as well as higher rates of outpatient treatment utilization at study entry were independently associated with longer duration of drug abstinence.

conclusionThese data suggest that individuals with low levels of stimulant use and psychiatric severity, as well as those actively engaged in services are most likely to succeed in a typical CM intervention. For others, modifications to CM interventions, such as increasing the value of reinforcement or adding CM to evidence based psychiatric interventions may improve treatment outcomes.

Indexed as

Persons with Psychiatric DisordersSeverity of Illness IndexAdultAmphetamine-Related DisordersCentral Nervous System StimulantsCocaine-Related DisordersFemaleHumansMaleMiddle AgedPredictive Value of TestsTreatment OutcomeCentral Nervous System Stimulants

Identifiers

PMID23273776
PMCPMC3616149
OpenAlexW1998233131

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.