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

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

Structured, evidence-based approaches in face-to-face (F2 F) settings have proven beneficial for treating major depressive disorder (MDD) and substance use disorder (SUD) [1,2], which frequently co-occur. Researchers are increasingly leveraging digital platforms to enhance the reach and accessibility of these treatments.

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

JMIR Ment Health 2025;12:e67670

Testing the Effectiveness of a Gamified Emotional Cognitive Bias Modification Task as an Intervention for Low Mood: Randomized Controlled Trial

Testing the Effectiveness of a Gamified Emotional Cognitive Bias Modification Task as an Intervention for Low Mood: Randomized Controlled Trial

Consequently, cognitive bias modification (CBM) interventions that target this negative bias may reduce depressive symptoms [4]. A CBM intervention was developed to aim at changing negative biases in the perception of emotional facial expressions [4]. This CBM technique shifts participants’ responses toward more positive interpretations of ambiguous facial expressions [4].

Rumeysa Kuruoğlu, Angela Attwood, Ian Penton-Voak

JMIR Serious Games 2025;13:e65103

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Celebrities and influencers on social media platforms have contributed to rising negative body image perceptions [13], which have been associated with higher depressive symptoms, loss of confidence, loneliness, and risk of developing eating disorders [13,14].

Jackson M Francis, Sitapriya S Neti, Dhatri Polavarapu, Folefac Atem, Luyu Xie, Olivia Kapera, Matthew S Mathew, Elisa Marroquin, Carrie McAdams, Jeffrey Schellinger, Sophia Ngenge, Sachin Kukreja, Benjamin E Schneider, Jaime P Almandoz, Sarah E Messiah

JMIR Form Res 2025;9:e58916

Digital Mental Health Interventions for Alleviating Depression and Anxiety During Psychotherapy Waiting Lists: Systematic Review

Digital Mental Health Interventions for Alleviating Depression and Anxiety During Psychotherapy Waiting Lists: Systematic Review

However, Grünzig et al [17] conducted a systematic review of low-intensity interventions to reduce depressive symptoms before outpatient psychotherapy and found limited evidence of their effectiveness in reducing depressive symptoms. Among the reviewed studies, the interventions were a mix of face-to-face sessions, web-based training for self-help strategies, and supervised bibliotherapy with feedback via email or telephone [17].

Sijia Huang, Yiyue Wang, Gen Li, Brian J Hall, Thomas J Nyman

JMIR Ment Health 2024;11:e56650

Examining a Fully Automated Mobile-Based Behavioral Activation Intervention in Depression: Randomized Controlled Trial

Examining a Fully Automated Mobile-Based Behavioral Activation Intervention in Depression: Randomized Controlled Trial

However, recent studies examining the impact of the COVID-19 pandemic on internalizing disorders suggest substantial increases in rates of depressive disorders [10-12].

Nicholas Santopetro, Danielle Jones, Andrew Garron, Alexandria Meyer, Keanan Joyner, Greg Hajcak

JMIR Ment Health 2024;11:e54252

The Double-Edged Sword of Online Learning for Ethnoracial Differences in Adolescent Mental Health During Late Period of the COVID-19 Pandemic in the United States: National Survey

The Double-Edged Sword of Online Learning for Ethnoracial Differences in Adolescent Mental Health During Late Period of the COVID-19 Pandemic in the United States: National Survey

The scale asks the frequency of experiencing mental distress (0=not at all to 3=nearly every day) during the 2 weeks prior to the survey, with 2 items referring to anxiety symptoms (α=.90) and 2 to depressive symptoms (α=.82). Items are summed to create 2 indexes, each ranging between 0 and 6 with higher numbers indicating higher levels of mental distress. Each score is then dichotomized, with respondents scoring 3 or greater coded as likely experiencing the condition represented by the subscale [34].

Celeste Campos-Castillo, Vijaya Tamla Rai, Linnea I Laestadius

JMIR Form Res 2024;8:e55759

Exploring the Relationship Between Instagram Use and Self-Criticism, Self-Compassion, and Body Dissatisfaction in the Spanish Population: Observational Study

Exploring the Relationship Between Instagram Use and Self-Criticism, Self-Compassion, and Body Dissatisfaction in the Spanish Population: Observational Study

Descriptive data for the total sample and scales mean comparisons between different age groups. a P b SCS: Self-Compassion Scale. c DEQ-A: self-criticism subscale of the Depressive Experiences Questionnaire. d DEQ-D: dependency subscale of the Depressive Experiences Questionnaire. e BSQ: Body Shape Questionnaire. Mean scores and SDs of the scales as a result of time spent using Instagram, as well as the P value after performing ANOVA analysis are presented in Table 4.

Andrea Varaona, Miguel Angel Alvarez-Mon, Irene Serrano-Garcia, Marina Díaz-Marsá, Jeffrey C L Looi, Rosa M Molina-Ruiz

J Med Internet Res 2024;26:e51957

Digitally Enabled Peer Support and Social Health Platform for Vulnerable Adults With Loneliness and Symptomatic Mental Illness: Cohort Analysis

Digitally Enabled Peer Support and Social Health Platform for Vulnerable Adults With Loneliness and Symptomatic Mental Illness: Cohort Analysis

A total score of 3 and above indicates that a major depressive disorder is likely. d A total score of 4 or greater is considered positive for loneliness, with scores of 7-9 considered to indicate severe loneliness. e GAD-7: 7-item Generalized Anxiety and Depression scale. Clinical outcomes.a a This table presents the data of participants who completed optional surveys at 30, 60, and 90 days.

Dena Bravata, Daniel Russell, Annette Fellows, Ron Goldman, Elizabeth Pace

JMIR Form Res 2024;8:e58263