Evidence map›Paper›PMID 40094744›Full record

ReviewJMIR mental health2025

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

Abstract readReview
In one paragraph

Review in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Geneva K JonathanCenter for Digital Mental Health, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-4762-561X
Qiuzuo GuoDepartment of Psychological Science, University of California, Irvine, CA, United States.ORCID https://orcid.org/0009-0008-3140-8152
Heyli ArceseCenter for Digital Mental Health, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0009-0002-9658-9747
A Eden EvinsCenter for Addiction Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-2071-9867
Sabine WilhelmCenter for Digital Mental Health, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-5316-2711

Funding

Career Development Program in Substance Use and Addiction MedicineK12DA043490 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI A EDEN EVINS, NANCY A RIGOTTI · 2017 to 2026
$4.7M
NIDA NIH HHS K12 DA043490NIMH NIH HHS L30 MH137878
6 · The paper itself

Abstract

backgroundIntegrated digital interventions for the treatment of comorbid depression and substance use disorder have been developed, and evidence of their effectiveness is mixed.

objectiveThis study aimed to explore potential reasons for mixed findings in the literature on integrated digital treatments. We described the methodologies and core characteristics of these interventions, identified the presence of evidence-based treatment strategies, examined patterns across digital modalities, and highlighted areas of overlap as well as critical gaps in the existing evidence base.

methodsIn June 2024, a literature search was conducted in Google Scholar to identify digital integrated interventions for comorbid major depressive disorder and substance use disorder. Articles were included if they described interventions targeting both conditions simultaneously; were grounded in cognitive behavioral therapy, motivational interviewing, or motivational enhancement therapy; and were delivered at least in part via digital modalities. In total, 14 studies meeting these criteria were coded using an open-coding approach to identify intervention characteristics and treatment strategies (n=25). Statistical analyses summarized descriptive statistics to capture the frequency and overlap of these strategies.

resultsStudies included a range of digital modalities: internet (n=6, 43%), computer (n=3, 21%), smartphone (n=2, 14%), and supportive text messaging interventions (n=3, 21%). Half (n=7, 50%) of the studies included participants with mild to moderate depression symptom severity and hazardous substance use. Only 36% (n=5) of the studies required participants to meet full diagnostic criteria for major depressive disorder for inclusion and 21% (n=3) required a substance use disorder diagnosis. Most interventions targeted adults (n=11, 79%), with few targeting young or emerging adults (n=4, 29%), and only 36% (n=5) reported detailed demographic data. Treatment duration averaged 10.3 (SD 6.8) weeks. Internet-based interventions offered the widest range of treatment strategies (mean 11.7), while supportive text messaging used the fewest (mean 4.6). Common treatment strategies included self-monitoring (n=11, 79%), psychoeducation (n=10, 71%), and coping skills (n=9, 64%). Interventions often combined therapeutic strategies, with psychoeducation frequently paired with self-monitoring (n=9, 64%), assessment (n=7, 50%), coping skills (n=7, 50%), decisional balance (n=7, 50%), feedback (n=7, 50%), and goal setting (n=7, 50%).

conclusionsAmong integrated digital interventions for comorbid depression and substance use, there was noteworthy variability in methodology, inclusion criteria, digital modalities, and embedded treatment strategies. Without standardized methods, comparison of the clinical outcomes across studies is challenging. These results emphasize the critical need for future research to adopt standardized approaches to facilitate more accurate comparisons and a clearer understanding of intervention efficacy.

Indexed as

Major Depressive DisorderSubstance-Related DisordersCognitive Behavioral TherapyComorbidityHumansMotivational InterviewingTelemedicineclinical outcomescomorbiditycontent analysisdepressiondepressivedigital healthdigital interventiondigital modalitiesevidence-based therapyGoogle Scholarintegrated treatmentliterature reviewmental healthnarrative reviewopen coding approachsubstance usesubstance use disordertreatment strategies

Identifiers

PMID40094744
PMCPMC12102630

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.