This paper is in the following e-collection/theme issue:

Demographics of Users, Social & Digital Divide (677) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Substance Abuse (379) Use and User Demographics of mHealth (311)

Published on in Vol 20, No 3 (2018): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9172, first published .
Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study

Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study

Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study

Authors of this article:

Robert D Ashford1 Author Orcid Image ;   Kevin Lynch1 Author Orcid Image ;   Brenda Curtis1 Author Orcid Image
Article Authors Cited by (49) Tweetations (41) Metrics

Journals

  1. Curtis B, Ashford R, Magnuson K, Ryan-Pettes S. Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2019;21(4):e13050 View
  2. Liu Y, Kornfield R, Shaw B, Shah D, McTavish F, Gustafson D. Giving and receiving social support in online substance use disorder forums: How self-efficacy moderates effects on relapse. Patient Education and Counseling 2020;103(6):1125 View
  3. Ashford R, Giorgi S, Mann B, Pesce C, Sherritt L, Ungar L, Curtis B. Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application. Journal of Substance Abuse Treatment 2020;109:50 View
  4. Curtis B, Bergman B, Brown A, McDaniel J, Harper K, Eisenhart E, Hufnagel M, Heller A, Ashford R. Characterizing Participation and Perceived Engagement Benefits in an Integrated Digital Behavioral Health Recovery Community for Women: A Cross-Sectional Survey. JMIR Mental Health 2019;6(8):e13352 View
  5. Dogan H, Norman H, Alrobai A, Jiang N, Nordin N, Adnan A. A Web-Based Intervention for Social Media Addiction Disorder Management in Higher Education: Quantitative Survey Study. Journal of Medical Internet Research 2019;21(10):e14834 View
  6. . Mobile Peer-Support for Opioid Use Disorders: Refinement of an Innovative Machine Learning Tool. Journal of Psychiatry and Brain Science 2020 View
  7. Lee E, Cooper R. Codeine Addiction and Internet Forum Use and Support: Qualitative Netnographic Study. JMIR Mental Health 2019;6(4):e12354 View
  8. Victoria Diniz M, Sun S, Barsottini C, Viggiano M, Signorini Filho R, Sanches Ozane Pimenta B, Elias K, Horowitz N, Braga A, Berkowitz R. Experience With the Use of an Online Community on Facebook for Brazilian Patients With Gestational Trophoblastic Disease: Netnography Study. Journal of Medical Internet Research 2018;20(9):e10897 View
  9. Blanco C, Wiley T, Lloyd J, Lopez M, Volkow N. America’s opioid crisis: the need for an integrated public health approach. Translational Psychiatry 2020;10(1) View
  10. Pasipanodya E, Kohli M, Fisher C, Moore D, Curtis B. Perceived risks and amelioration of harm in research using mobile technology to support antiretroviral therapy adherence in the context of methamphetamine use: a focus group study among minorities living with HIV. Harm Reduction Journal 2020;17(1) View
  11. Ashford R, Bergman B, Kelly J, Curtis B. Systematic review: Digital recovery support services used to support substance use disorder recovery. Human Behavior and Emerging Technologies 2020;2(1):18 View
  12. Khalili-Mahani N, Smyrnova A, Kakinami L. To Each Stress Its Own Screen: A Cross-Sectional Survey of the Patterns of Stress and Various Screen Uses in Relation to Self-Admitted Screen Addiction. Journal of Medical Internet Research 2019;21(4):e11485 View
  13. Bergman B, Claire Greene M, Hoeppner B, Kelly J. Expanding the reach of alcohol and other drug services: Prevalence and correlates of US adult engagement with online technology to address substance problems. Addictive Behaviors 2018;87:74 View
  14. Fernández-Sotos P, Fernández-Caballero A, González P, Aparicio A, Martínez-Gras I, Torio I, Dompablo M, García-Fernández L, Santos J, Rodriguez-Jimenez R. Digital Technology for Internet Access by Patients With Early-Stage Schizophrenia in Spain: Multicenter Research Study. Journal of Medical Internet Research 2019;21(4):e11824 View
  15. Ashford R, Curtis B. Commentary on Cohn and Colleagues: Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality (ACER, 2019). Alcoholism: Clinical and Experimental Research 2019;43(3):401 View
  16. Bergman B, Wu W, Marsch L, Crosier B, DeLise T, Hassanpour S. Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e21916 View
  17. Masson C, Chen I, Levine J, Shopshire M, Sorensen J. Health-related internet use among opioid treatment patients. Addictive Behaviors Reports 2019;9:100157 View
  18. Asuzu K, Rosenthal M. Mobile device use among inpatients on a psychiatric unit: A preliminary study. Psychiatry Research 2021;297:113720 View
  19. Mi R, Kornfield R, Shah D, Maus A, Gustafson D. Intraindividual, Dyadic, and Network Communication in a Digital Health Intervention: Distinguishing Message Exposure from Message Production. Health Communication 2022;37(4):397 View
  20. Noel J, Lakhan H. Changing Alcohol Cravings Using Social Media Comments. Substance Use & Misuse 2021;56(3):377 View
  21. Ganesh R, Rao R, Deb K, Bhad R, Yadav D. Digital Capacity and Interest in mHealth Interventions Among Individuals on Opioid Agonist Maintenance Treatment: A Cross-Sectional Community-Based Study. Indian Journal of Psychological Medicine 2022;44(4):354 View
  22. Hsu M, Martin B, Ahmed S, Torous J, Suzuki J. Smartphone Ownership, Smartphone Utilization, and Interest in Using Mental Health Apps to Address Substance Use Disorders: Literature Review and Cross-sectional Survey Study Across Two Sites. JMIR Formative Research 2022;6(7):e38684 View
  23. Kiburi S, Paruk S, Chiliza B. Mobile phone ownership, digital technology use and acceptability of digital interventions among individuals on opioid use disorder treatment in Kenya. Frontiers in Digital Health 2022;4 View
  24. Gilbert P, Saathoff E, Russell A, Brown G. Gender differences in lifetime and current use of online support for recovery from alcohol use disorder. Alcoholism: Clinical and Experimental Research 2022;46(6):1073 View
  25. Garett R, Young S. Potential Effects of Digital Inequality on Treatment Seeking for Opioid Use Disorder. International Journal of Mental Health and Addiction 2023;21(2):890 View
  26. Garett R, Young S. Ethical Views on Sharing Digital Data for Public Health Surveillance: Analysis of Survey Data Among Patients. Frontiers in Big Data 2022;5 View
  27. Tofighi B, Durr M, Marini C, Lewis C, Lee J. A Mixed-Methods Evaluation of the Feasibility of a Medical Management-Based Text Messaging Intervention Combined With Buprenorphine in Primary Care. Substance Abuse: Research and Treatment 2022;16:117822182210782 View
  28. Phelan C, Heyer J, Pfafman R, Kerrigan C, Tzilos Wernette G, Dombrowski L, Miller A, Pater J. The Work of Digital Social Re-entry in Substance Use Disorder Recovery. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  29. Klingemann J, Wieczorek Ł. Mobile application recovery support for patients with an alcohol use disorder. Acceptance, usability, and perceived helpfulness. Journal of Addictive Diseases 2022;40(4):559 View
  30. Broman M, Pasman E, Brown S, Lister J, Agius E, Resko S. Social support is associated with reduced stigma and shame in a sample of rural and small urban adults in methadone treatment. Addiction Research & Theory 2023;31(1):37 View
  31. Peterkin A, Jawa R, Menezes K, You J, Cabral H, Ruiz-Mercado G, Park T, Kehoe J, Taylor J, Weinstein Z. Pre-Paid Phone Distribution: A Tool for Improving Healthcare Engagement for People with Substance Use Disorder. Substance Use & Misuse 2023;58(4):585 View
  32. Proctor S, Rigg K, Tien A. Acceptability and Usability of a Reward-Based Mobile App for Opioid Treatment Settings: Mixed Methods Pilot Study. JMIR Formative Research 2022;6(10):e37474 View
  33. Hallgren K, Cohn E, Ries R, Atkins D. Delivering Remote Measurement-Based Care in Community Addiction Treatment: Engagement and Usability Over a 6-Month Clinical Pilot. Frontiers in Psychiatry 2022;13 View
  34. Nobles A, Johnson D, Leas E, Goodman-Meza D, Zúñiga M, Ziedonis D, Strathdee S, Ayers J. Characterizing Self-Reports of Self-Identified Patient Experiences with Methadone Maintenance Treatment on an Online Community during COVID-19. Substance Use & Misuse 2021;56(14):2134 View
  35. Russell A, Bergman B, Colditz J, Kelly J, Milaham P, Massey P. Using TikTok in recovery from substance use disorder. Drug and Alcohol Dependence 2021;229:109147 View
  36. Proctor S. Rewarding recovery: the time is now for contingency management for opioid use disorder. Annals of Medicine 2022;54(1):1178 View
  37. Kepner W, Meacham M, Nobles A. Types and Sources of Stigma on Opioid Use Treatment and Recovery Communities on Reddit. Substance Use & Misuse 2022;57(10):1511 View
  38. Niu S, McKim K, Palm Reed K. Education, Personal Experiences, and Advocacy. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  39. Tofighi B, Badiei B, Badolato R, Lewis C, Nunes E, Thomas A, Lee J. Integrating Text Messaging in a Low Threshold Telebuprenorphine Program for New York City Residents with Opioid Use Disorder during COVID-19: A Pilot Randomized Controlled Trial. Journal of Addiction Medicine 2023;17(5):e281 View
  40. Kasson E, Filiatreau L, Kaiser N, Davet K, Taylor J, Garg S, El Sherief M, Aledavood T, De Choudhury M, Cavazos-Rehg P. Using Social Media to Examine Themes Surrounding Fentanyl Misuse and Risk Indicators. Substance Use & Misuse 2023;58(7):920 View
  41. Curtis B, Giorgi S, Ungar L, Vu H, Yaden D, Liu T, Yadeta K, Schwartz H. AI-based analysis of social media language predicts addiction treatment dropout at 90 days. Neuropsychopharmacology 2023;48(11):1579 View
  42. Kiburi S, Paruk S, Kwobah E, Chiliza B, Ayatollahi H. Exploring user experiences of a text message-delivered intervention among individuals on opioid use disorder treatment in Kenya: A qualitative study. PLOS Digital Health 2023;2(11):e0000375 View
  43. Viera A, Tengatenga C, McBurney E, Lauckner J, Tran E, Muilenburg J, Kershaw T, Lauckner C. “The Phone is my Lifeline”: Use of Mobile Phone Technology to Support Recovery among Individuals in Treatment for Substance Use Disorders. Substance Use & Misuse 2023;58(11):1360 View
  44. Raj S, Ghosh A, Pandiyan S, Chauhan D, Goel S. Analysis of YouTube content on substance use disorder treatment and recovery. International Journal of Social Psychiatry 2023;69(8):2097 View
  45. . Closing the Digital Divide in Interventions for Substance Use Disorder. Journal of Psychiatry and Brain Science 2024 View
  46. Oesterle T, Hall-Flavin D, Bormann N, Loukianova L, Fipps D, Breitinger S, Gilliam W, Wu T, Correa da Costa S, Arndt S, Karpyak V. Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review. Mayo Clinic Proceedings: Digital Health 2024;2(2):192 View

Books/Policy Documents

  1. Gong Y. Cyber Security Intelligence and Analytics. View
  2. Sherer J, Richman E, Shalvoy K. Technology-Assisted Interventions for Substance Use Disorders. View
  3. Ruhlmann R, Fairbairn C, Flanagan J. New Directions in Addiction Science. View