Published on in Vol 6, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10292, first published .
A Newly Designed Mobile-Based Computerized Cognitive Addiction Therapy App for the Improvement of Cognition Impairments and Risk Decision Making in Methamphetamine Use Disorder: Randomized Controlled Trial

A Newly Designed Mobile-Based Computerized Cognitive Addiction Therapy App for the Improvement of Cognition Impairments and Risk Decision Making in Methamphetamine Use Disorder: Randomized Controlled Trial

A Newly Designed Mobile-Based Computerized Cognitive Addiction Therapy App for the Improvement of Cognition Impairments and Risk Decision Making in Methamphetamine Use Disorder: Randomized Controlled Trial

Journals

  1. Schultz J, Neumann R, Steins-Loeber S. Impulsivity and relapse during treatment of methamphetamine use disorder. SUCHT 2019;65(4):263 View
  2. Restrepo S, Rincón D, Sepulveda E. Cognitive Training for the Treatment of Addictions Mediated by Information and Communication Technologies (ICT). Future Internet 2020;12(2):38 View
  3. Fu Z, Burger H, Arjadi R, Bockting C. Effectiveness of digital psychological interventions for mental health problems in low-income and middle-income countries: a systematic review and meta-analysis. The Lancet Psychiatry 2020;7(10):851 View
  4. Zhang M, Ying J, Amron S, Mahreen Z, Song G, Fung D, Smith H. Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study. JMIR mHealth and uHealth 2019;7(11):e16325 View
  5. Rabiei R, Moghaddasi H, Heidari M. Design and Evaluation of a Mobile Application for Relapse Prevention to Methamphetamine Use Disorder. International Journal of High Risk Behaviors and Addiction 2020;9(1) View
  6. Chiang M, Lombardi D, Du J, Makrum U, Sitthichai R, Harrington A, Shukair N, Zhao M, Fan X. Methamphetamine‐associated psychosis: Clinical presentation, biological basis, and treatment options. Human Psychopharmacology: Clinical and Experimental 2019;34(5) View
  7. Zhang M, Ying J, Amron S, Mahreen Z, Song G, Fung D, Smith H. A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2019;7(9):e15465 View
  8. Lechner W, Sidhu N, Kittaneh A, Anand A. Interventions with potential to target executive function deficits in addiction: current state of the literature. Current Opinion in Psychology 2019;30:24 View
  9. Verdejo-Garcia A, Lorenzetti V, Manning V, Piercy H, Bruno R, Hester R, Pennington D, Tolomeo S, Arunogiri S, Bates M, Bowden-Jones H, Campanella S, Daughters S, Kouimtsidis C, Lubman D, Meyerhoff D, Ralph A, Rezapour T, Tavakoli H, Zare-Bidoky M, Zilverstand A, Steele D, Moeller S, Paulus M, Baldacchino A, Ekhtiari H. A Roadmap for Integrating Neuroscience Into Addiction Treatment: A Consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine. Frontiers in Psychiatry 2019;10 View
  10. Xu X, Ding X, Chen L, Chen T, Su H, Li X, Ye Y, Shi W, Ji J, Zhao M, Zhong N, Jiang H. The transcranial direct current stimulation over prefrontal cortex combined with the cognitive training reduced the cue-induced craving in female individuals with methamphetamine use disorder: A randomized controlled trial. Journal of Psychiatric Research 2021;134:102 View
  11. Carter H, Araya R, Anjur K, Deng D, Naslund J. The emergence of digital mental health in low-income and middle-income countries: A review of recent advances and implications for the treatment and prevention of mental disorders. Journal of Psychiatric Research 2021;133:223 View
  12. Zhang M, Smith H. Cognitive Bias Modification for Addictive Disorders: Emerging Knowledge and Persistent Gaps. Psychiatry International 2020;1(2):75 View
  13. Polat H, Asi Karakaş S. The effect of acceptance and commitment therapy orientated anger management training on anger ruminations and impulsivity levels in forensic psychiatric patients: A randomized controlled trial. Perspectives in Psychiatric Care 2021;57(4):1616 View
  14. Zhang M, Smith H. Challenges When Evaluating Cognitive Bias Modification Interventions for Substance Use Disorder. International Journal of Environmental Research and Public Health 2020;17(21):7821 View
  15. Anderson A, Youssef G, Robinson A, Lubman D, Verdejo‐Garcia A. Cognitive boosting interventions for impulsivity in addiction: a systematic review and meta‐analysis of cognitive training, remediation and pharmacological enhancement. Addiction 2021;116(12):3304 View
  16. Ekhtiari H, Rezapour T, Sawyer B, Yeh H, Kuplicki R, Tarrasch M, Paulus M, Aupperle R. Neurocognitive Empowerment for Addiction Treatment (NEAT): study protocol for a randomized controlled trial. Trials 2021;22(1) View
  17. O'Donnell B, Skosnik P, Hetrick W, Fridberg D. Decision Making and Impulsivity in Young Adult Cannabis Users. Frontiers in Psychology 2021;12 View
  18. He M, Yang S, Miao Y, Zhang W, Zhu D, Xu D. Four-week Tai Chi intervention decreases attention bias to drug cues in individuals with methamphetamine use disorder. The American Journal of Drug and Alcohol Abuse 2021;47(5):638 View
  19. Ojeahere M, Kiburi S, Agbo P, Kumar R, Jaguga F, Lichtner V. Telehealth interventions for substance use disorders in low- and- middle income countries: A scoping review. PLOS Digital Health 2022;1(11):e0000125 View
  20. Sui X, Zhang M, Yuan T, Rao L. Impaired Outcome Evaluation During Risky Decision-Making in Individuals with Methamphetamine Use Disorder. International Journal of Mental Health and Addiction 2022 View
  21. Zhang X, Lewis S, Firth J, Chen X, Bucci S. Digital mental health in China: a systematic review. Psychological Medicine 2021;51(15):2552 View
  22. Chaldogeridis A, Tsiatsos T. Gamification Techniques and Best Practices in Computerized Working Memory Training: A Systematic Literature Review. Applied Sciences 2022;12(19):9785 View
  23. Wu X, Du J, Jiang H, Zhao M. Application of Digital Medicine in Addiction. Journal of Shanghai Jiaotong University (Science) 2022;27(2):144 View
  24. Rudner T, Hume D, Larmuth K, Atterbury E, Rauch H, Kroff J. Substance use disorder and obesogenic eating: Does working memory training strengthen ability to abstain from unwanted behaviors? A systematic review. Journal of Substance Abuse Treatment 2022;137:108689 View
  25. Yamada C, Siste K, Hanafi E, Ophinni Y, Beatrice E, Rafelia V, Alison P, Limawan A, Shinozaki T, Matsumoto T, Sakamoto R. Relapse prevention group therapy via video-conferencing for substance use disorder: protocol for a multicentre randomised controlled trial in Indonesia. BMJ Open 2021;11(9):e050259 View
  26. Robinson A, Chong T, Verdejo‐Garcia A. Computational models of exploration and exploitation characterise onset and efficacy of treatment in methamphetamine use disorder. Addiction Biology 2022;27(3) View
  27. Caetano T, Pinho M, Ramadas E, Clara C, Areosa T, Dixe M. Cognitive Training Effectiveness on Memory, Executive Functioning, and Processing Speed in Individuals With Substance Use Disorders: A Systematic Review. Frontiers in Psychology 2021;12 View
  28. Bonfiglio N, Mascia M, Cataudella S, Penna M. Digital Help for Substance Users (SU): A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(18):11309 View
  29. He M, Wang L, Zhu D, Xu D, Zhu X, Yang S. Dissociation of drug and negative emotional cue induced attentional bias in individuals with methamphetamine‐use disorder. The American Journal on Addictions 2024;33(3):305 View
  30. Karabulut S. A 6-Month Follow-Up Study: Cognitive Impairment May Predict More Frequent Use of Methamphetamine. Substance Abuse: Research and Treatment 2023;17:117822182311758 View
  31. Minozzi S, Saulle R, Amato L, Traccis F, Agabio R. Psychosocial interventions for stimulant use disorder. Cochrane Database of Systematic Reviews 2024;2024(2) View

Books/Policy Documents

  1. Garami J, Moustafa A. Cognitive, Clinical, and Neural Aspects of Drug Addiction. View
  2. Rezapour T, Aupperle R, Paulus M, Ekhtiari H. Cognition and Addiction. View
  3. Valyan A, Ekhtiari H, Smith R, Paulus M. Cognition and Addiction. View
  4. Toledo-Rodriguez M, Boillat T. Quantifying Quality of Life. View