Evidence map›Paper›PMID 31193584›Full record

ArticleInternet interventions2019

Web-based self-help with and without chat counseling to reduce cocaine use in cocaine misusers: Results of a three-arm randomized controlled trial.

Michael P Schaub, Raquel Paz Castro, Andreas Wenger, Christian Baumgartner, Lars Stark, David D Ebert, Boris B Quednow, Severin Haug

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 4 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Psychosocial interventions for stimulant use disorder.The Cochrane database of systematic reviews · 2024
    Pooled it
  4. Pooled it
  5. Article
  6. 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

8 authors at 3 institutions in 2 countries.

Michael P SchaubSwiss Research Institute for Public Health and Addiction at the University of Zurich, Konradstrasse 32, P. O. Box, 8005 Zurich, Switzerland.
Raquel Paz CastroSwiss Research Institute for Public Health and Addiction at the University of Zurich, Konradstrasse 32, P. O. Box, 8005 Zurich, Switzerland.
Andreas WengerSwiss Research Institute for Public Health and Addiction at the University of Zurich, Konradstrasse 32, P. O. Box, 8005 Zurich, Switzerland.
Christian BaumgartnerSwiss Research Institute for Public Health and Addiction at the University of Zurich, Konradstrasse 32, P. O. Box, 8005 Zurich, Switzerland.
Lars StarkArud, Centres for Addiction Medicine, Konradstrasse 32, 8005 Zurich, Switzerland.
David D EbertClinical Psychology and Psychotherapy, Friedrich Alexander University Erlangen-Nuremberg, Nägelsbachstraße 25a, 90152 Erlangen, Germany.
Boris B QuednowExperimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital of the University of Zurich, Lenggstrasse 31, 8032 Zürich, Switzerland.
Severin HaugSwiss Research Institute for Public Health and Addiction at the University of Zurich, Konradstrasse 32, P. O. Box, 8005 Zurich, Switzerland.
University of Zurich · CHAddiction Switzerland · CHFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, cocaine use has increased in many countries, but only a minority of users seek treatment. Cognitive behavioral therapy (CBT) is seen as first-choice face-to-face treatment. However, a web-based intervention might serve as an alternative.

aimsTo test the efficacy of a web-based self-help intervention, with and without chat counseling, grounded in CBT, at reducing cocaine use in cocaine misusers not in treatment for a substance use disorder.

methodsSubjects were randomly assigned to (1) a self-help intervention with chat support, (2) a self-help intervention without chat support, or (3) a waiting list control group. The fully-automated self-help program consisted of eight modules based on motivational interviewing, self-control practices and CBT. The primary outcome was the quantity of cocaine use per week. Secondary outcomes included frequency of cocaine and other substance use and mental health symptoms. Linear regression analysis was performed to investigate changes in primary and secondary outcomes.

resultsIn total, 416 users registered online for the trial, of whom 311 completed the baseline assessment. Participants were predominantly male (73%) and averaged 33 years old (SD = 7.6). Despite considerable efforts on our part, only 47 of 311 (15.1%) subjects completed the 6-month follow-up assessment. Frequency of cocaine use and severity of cocaine dependence decreased only in the intervention groups. No significant difference in the primary outcome was observed between the study arms, but several differences in secondary outcomes were observed by complete case analyses.

conclusionsMany cocaine misusers from the general population and not otherwise in treatment could be reached and decreased their cocaine use utilizing a CBT-based online intervention. However, due to the high percentage of dropouts and serious difficulties reaching subjects for follow-up assessments, no conclusions can be drawn regarding study arm differences. Implications for future studies are discussed.

Indexed as

ChatCocaineCognitive Behavioral TherapyInternetMotivational InterviewingSelf-help

Identifiers

PMID31193584
PMCPMC6536739
OpenAlexW2946816436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.