Evidence map›Paper›PMID 26657820›Full record

Trial reportAddictive behaviors2016

Can persons with a history of multiple addiction treatment episodes benefit from technology delivered behavior therapy? A moderating role of treatment history at baseline.

Sunny Jung Kim, Lisa A Marsch, Michelle C Acosta, Honoria Guarino, Yesenia Aponte-Melendez

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Addictive behaviors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Using Behavioural Insights to Improve the Uptake of Services for Drug and Alcohol Misuse.International journal of environmental research and public health · 2021
    Article
  8. 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

5 authors at 2 institutions in 1 country.

Sunny Jung KimDepartment of Psychiatry, Geisel School of Medicine at Dartmouth, Dartmouth College, 85 Mechanic Street, Lebanon, NH 03766, USA. Electronic address: Sunny.J.Kim@dartmouth.edu.
Lisa A MarschDepartment of Psychiatry, Geisel School of Medicine at Dartmouth, Dartmouth College, 85 Mechanic Street, Lebanon, NH 03766, USA. Electronic address: Lisa.A.Marsch@dartmouth.edu.
Michelle C AcostaNational Development and Research Institutes, Inc., 71 W. 23rd St., New York, NY 10010, USA. Electronic address: acosta@ndri.org.
Honoria GuarinoNational Development and Research Institutes, Inc., 71 W. 23rd St., New York, NY 10010, USA. Electronic address: guarino@ndri.org.
Yesenia Aponte-MelendezNational Development and Research Institutes, Inc., 71 W. 23rd St., New York, NY 10010, USA. Electronic address: aponte-melendez@ndri.org.
National Development and Research Institutes · USDartmouth College · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Computer-Delivery of Effective, Psychosocial Interventions in Methadone TreatmentR01DA021818 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI MARSCH, LISA A. · 2006 to 2009
$1.8M
NIDA NIH HHS P30 DA029926NIDA NIH HHS P30DA029926NIDA NIH HHS R01 DA021818
6 · The paper itself

Abstract

A growing line of research has shown positive treatment outcomes from technology-based therapy for substance use disorders (SUDs). However, little is known about the effectiveness of technology-based SUD interventions for persons who already had numerous prior SUD treatments. We conducted a secondary analysis on a 12-month trial with patients (N=160) entering methadone maintenance treatment (MMT). Patients were randomly assigned to either standard MMT treatment or a model in which half of standard counseling sessions were replaced with a computer-based intervention, called Therapeutic Education System (standard+TES). Four treatment history factors at baseline, the number of lifetime SUD treatment episodes, detoxification episodes, and inpatient/outpatient treatment episodes were categorized into three levels based on their tertile points, and analyzed as moderators. Dependent variables were urine toxicology results for opioid and cocaine abstinence for 52-weeks. The standard+TES condition produced significantly better opioid abstinence than standard treatment for participants with 1) a moderate or high frequency of lifetime SUD treatment episodes, and 2) those with all three levels (low, moderate and high) of detoxification and inpatient/outpatient treatment episodes, ps<.01. The standard+TES condition enhanced cocaine abstinence compared to standard treatment among people with 1) a moderate or high frequency of lifetime SUD treatment episodes, 2) a high level of detoxification episodes, and 3) a moderate or high level of inpatient treatment history, ps<.01. We found that including technology-based behavioral therapy as part of treatment can be more effective than MMT alone, even among patients with a history of multiple addiction treatment episodes.

Indexed as

AdultAnalgesics, OpioidBehavior TherapyBiomedical TechnologyCocaine-Related DisordersCounselingDopamine Uptake InhibitorsDrug Administration ScheduleFemaleHumansMaleMethadoneMiddle AgedOpiate Substitution TreatmentOpioid-Related DisordersTreatment OutcomeAnalgesics, OpioidDopamine Uptake InhibitorsMethadoneBehavioral therapyCocaine dependenceComputer-based health interventionOpioid dependenceTreatment history

Identifiers

PMID26657820
PMCPMC4713265
OpenAlexW2173407076

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.