Volume 29, Issue 4 (Winter 2024)                   IJPCP 2024, 29(4): 438-459 | Back to browse issues page


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Sheybani F, Aalaei S, Talaei A, Salimi Z, Emran R. Effect of Mobile-based Combined Working Memory and Attention Control Training on Craving, Impulsivity, and Working Memory of Male Opioid Addicts Under Methadone Therapy: A Randomized Controlled Clinical Trial. IJPCP 2024; 29 (4) :438-459
URL: http://ijpcp.iums.ac.ir/article-1-3960-en.html
1- Department of Clinical Psychology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
2- Department of Biomedical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
3- Department of Psychiatry, School of Medicine, Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
4- Department of Clinical Psychology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. , reza.emran66@gmail.com
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Introduction
Opioid addiction is a global public health concern, with high relapse rate and difficulties in maintaining abstinence among detoxified patients. Neurocognitive disorders and working memory deficits are major contributors to the poor treatment outcomes in people with substance abuse. Working memory, involved by essential skills in cognitive rehabilitation tasks, plays a crucial role in addiction recovery. Impaired working memory is related to reduced impulse control, decreased resistance to drug craving, and high risk of relapse. Individuals with low working memory tend to show high levels of impulsivity, which is the predictor of craving in both drug abusers and those abstinent from drug use. Furthermore, inadequate performance in computerized working memory training (WMT)  is associated with suboptimal responses to psychotherapy, higher rates of relapse, and shorter durations of abstinence after drug cessation. Recent studies using WMT have shown promising results in improving cognitive function. This study sought to assess the effect of WMT combined with attention control training (ACT) using a mobile application on craving, impulsivity, and working memory of opioid users under methadone therapy.

Methods
In this randomized controlled clinical trial, 50 male opioid addicts were selected from four addiction treatment clinics in Mashhad, Iran, using a purposive sampling method. Inclusion criteria were age 18-49 years, reading and writing literacy, having an Android phone, maintaining a stable methadone dose for a least four weeks prior to the study, and continuing to keep this dosage stable during the study period. Participants were examined by a psychiatrist, and those with a psychotic episode in the last month, severe brain damage and/or a neurodegenerative disease, unwillingness to continue participation, failure to use the designated application for at least one week during the study were excluded. After obtaining informed consent from the participants, they were randomly assigned to intervention group (n=25) and control group (n=25).
The intervention group played a neuro-rehab game weekly for four consecutive weeks. This mobile application is a cognitive-based game for brain training that consists of both ACT and WMT [10]. The control group did not play any game during this period and received treatment as usual which was methadone therapy at the steady dose. At the end of the 4-week intervention period, a post-test assessment was administered to both groups. The collected data were analyzed in SPSS software, version 25.

Results
According to the information in Table 1, the mean age variable of participants was 36.64±7.94 years in the intervention group and 35.24±7.21 years in the control group.


Participants were 9 single people (18%) and 41 married people (82%). In terms of education in overall, 9 participants had middle school education, 15 had a high school diploma, 9 had an associate degree, 13 had a bachelor's degree, and 4 had a master’s degree. The mean duration of addiction was 11.24±5.28 years in the intervention group and 11.44±5.67 years in the control group. The results of chi-square test showed that the two groups were similar in terms of age, duration of addiction, gender, and education level and there were no significant differences between them (Table 1). The mean training duration for the intervention group was 28.22±22.26 minutes. Table 2 presents the mean pre-test and post-test scores of the study participants.


As presented in Table 3, the difference between the two groups in craving (F=67.90, P<0.001, partial eta=0.59) and impulsivity (F=14.37, P<0.001, partial eta=0.23) was significant, but the differences in forward digit span (P=0.59), backward digit span (P=0.12), and total score of digit span test (P=0.12) were not significant.


The mean value for the ratio of the number of wrong answers to the total answers in the pre-test and post-test phases was 54.36±13.80 and 46.40±13.92, respectively.

Conclusion
The results of this study showed that the combination of WMT and ACT delivered on a mobile application could significantly reduce craving and impulsivity in male opioid addicts under methadone therapy. These findings suggest the potential of this combined intervention in reducing the risk of relapse in these people. However, we found no significant increase in working memory after combined intervention.

Ethical Considerations
Compliance with ethical guidelines

This study has ethical approval from the Ethics Committee of Mashhad University of Medical Sciences (Code: IR.MUMS.MEDICAL.REC.1401.018). The study was registered by the Iranian Registry of Clinical Trials (IRCT ) (ID: IRCT20171031037145N3).

Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Authors contributions
Conceptualization: Reza Emran; Methodology: Shokoufe Aalayi, Farshad Sheybani and Ali Talaei; Investigation: Reza Emran; Funding acquisition: Farshad Sheybani and Reza Emran; Writing, resources and supervision: All authors.

Conflicts of interest
The authors declared no conflict of interest.


References
  1. Rass O, Schacht RL, Buckheit K, Johnson MW, Strain EC, Mintzer MZ. A randomized controlled trial of the effects of working memory training in methadone maintenance patients. Drug and Alcohol Dependence. 2015; 156:38-46. [DOI:10.1016/j.drugalcdep.2015.08.012] [PMID]   
  2. Mohammadkhani P, Mohamai L, Azadmehr H, Taghizade S, Baharloo D. [Effectiveness of guided adolescent problem solving on craving, attitude toward drug abuse and coping strategies in adolescents with substance abuse (Persian)]. Iranian Journal of Psychiatry and Clinical Psychology. 2015; 21(1):26-36. [Link]
  3. Klingberg T, Fernell E, Olesen PJ, Johnson M, Gustafsson P, Dahlström K, et al. Computerized training of working memory in children with ADHD--a randomized, controlled trial. Journal of the American Academy of Child and Adolescent Psychiatry. 2005; 44(2):177-86. [PMID]
  4. Gathercole SE, Pickering SJ. Working memory deficits in children with low achievements in the national curriculum at 7 years of age. The British Journal of Educational Psychology. 2000; 70(2):177-194. [DOI:10.1348/000709900158047] [PMID]
  5. No Author. Correction to: Emotional bias modification weakens game-related compulsivity and reshapes frontostriatal pathways. Brain. 2023; 146(2):e13. [DOI:10.1093/brain/awac410]
  6. Berridge KC, Kringelbach ML. Affective neuroscience of pleasure: Reward in humans and animals. Psychopharmacology. 2008; 199(3):457-80. [DOI:10.1007/s00213-008-1099-6] [PMID]   
  7. Fazeli A, Dolatshahi B, Shakiba S. [The effectiveness of cognitive rehabilitation on improving cognitive deficits in patients with chronic schizophrenia based on cognitive levels (Persian)]. Iranian Journal of Psychiatry and Clinical Psychology. 2022; 28(1):2-19. [DOI:10.32598/ijpcp.28.1.2333.2]
  8. Olesen PJ, Westerberg H, Klingberg T. Increased prefrontal and parietal activity after training of working memory. Nat Neurosci. 2004; 7(1):75-9. [DOI:10.1038/nn1165] [PMID]
  9. Bagheri Z, Abharian P, Armani A, Taromian F, Mohammadi-Bytamar J, Molavi N, et al. Efficacy of working memory training on craving and cognitive functioning of opiate users. Clinical and Experimental  Psychology. 2018; 4(4):1000202. [DOI:10.4172/2471-2701.1000202]
  10. Carretti B, Borella E, De Beni R. Does strategic memory training improve the working memory performance of younger and older adults? Experimental Psychology. 2007; 54(4):311-320. [DOI:10.1027/1618-3169.54.4.311] [PMID]
  11. Melby-Lervåg M, Hulme C. Is working memory training effective? A meta-analytic review. Developmental Psychology. 2013; 49(2):270-91. [DOI:10.1037/a0028228] [PMID]
  12. Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994; 50, 7-15. [DOI:10.1016/0010-0277(94)90018-3] [PMID]
  13. Verdejo-Garcia A, Rezapour T, Giddens E, Khojasteh Zonoozi A, Rafei P, Berry J, et al.Cognitive training and remediation interventions for substance use disorders: A Delphi consensus study.Addiction. 2023; 118(5):935-51. [PMID]
  14. Baddeley A. Working memory: The interface between memory and cognition. Journal of Cognitive Neuroscience. 1992; 4(3):281-8. [DOI:10.1162/jocn.1992.4.3.281] [PMID]
  15. Kirby KN, Petry NM. Heroin and cocaine abusers have higher discount rates for delayed rewards than alcoholics or non-drug using controls. Addiction. 2004; 99(4):461-71. [DOI:10.1111/j.1360-0443.2003.00669.x] [PMID]
  16. Holmes J, Gathercole SE, Dunning DL. Adaptive training leads to sustained enhancement of poor working memory in children. Developmental Science. 2009; 12(4):F9-15. [DOI:10.1111/j.1467-7687.2009.00848.x] [PMID]
  17. Westerberg H, Jacobaeus H, Hirvikoski T, Clevberger P, Ostensson ML, Bartfai A, et al. Computerized working memory training after stroke--a pilot study. Brain Injury. 2007; 21(1):21-9.  [DOI:10.1080/02699050601148726] [PMID]
  18. Wiers RW, Eberl C, Rinck M, Becker ES, Lindenmeyer J. Retraining automatic action tendencies changes alcoholic patients' approach bias for alcohol and improves treatment outcome. Psychological Science. 2011; 22(4):490-7. [DOI:10.1177/0956797611400615] [PMID]
  19. Shams A, Eslami Nosratabadi M, Sangari M, Mirmoezzi M. [Effect of cognitive rehabilitation combined with physical exercise on sustained, selective, and alternating attention in school-aged girls attention-deficit/hyperactivity disorder (Persian)]. Iranian Journal of Psychiatry and Clinical Psychology. 2021; 27(3):276-87. [DOI:10.32598/ijpcp.27.3.3342.1]
  20. Moradi P, Masjedi A, Jafari M. [Effect of computer games on working memory, visual memory, and executive functions of the elderly (Persian)]. Iranian Journal of Psychiatry and Clinical Psychology. 2021; 27(3):302-17. [DOI:10.32598/ijpcp.27.2.3401.1]
  21. Chang L, Ernst T, Speck O, Patel H, DeSilva M, Leonido-Yee M, et al. Perfusion MRI and computerized cognitive test abnormalities in abstinent methamphetamine users. Psychiatry Research. 2002; 114 (2):65–79. [DOI:10.1016/S0925-4927(02)00004-5]
  22. Saed O, Rushan R, Moradi AR. [Investigating psychometric properties of Wechsler Memory Scale-Third Edition for the students (Persian)]. Daneshvar Raftar. 2008; 15(31):57-70. [Link]
  23. Lawrence PJ, Rooke SM, Creswell C. Review: Prevention of anxiety among at-risk children and adolescents - a systematic review and meta-analysis. Child and Adolescent Mental Health. 2017; 22(3):118-30. [DOI:10.1111/camh.12226] [PMID]
  24. Mistarz N, Nielsen AS, Andersen K, Goudriaan AE, Skøt L, Mathiasen K, et al. Brain+ AlcoRecover: A randomized controlled pilot-study and feasibility study of multiple-domain cognitive training using a serious gaming app for treating alcohol use disorders. Frontiers in Psychiatry. 2021; 12:727001. [PMID]
  25. Brooks SJ, Wiemerslage L, Burch KH, Maiorana SA, Cocolas E, Schiöth HB, et al. The impact of cognitive training in substance use disorder: The effect of working memory training on impulse control in methamphetamine users. Psychopharmacology. 2017; 234(12):1911-21. [PMID]
  26. Wanmaker S, Leijdesdorff SMJ, Geraerts E, van de Wetering BJM, Renkema PJ, Franken IHA. The efficacy of a working memory training in substance use patients: A randomized double-blind placebo-controlled clinical trial. Journal of Clinical and Experimental Neuropsychology. 2018; 40(5):473-86. [DOI:10.1080/13803395.2017.1372367] [PMID]
  27. Fadardi JS, Cox WM.  Reversing the sequence: Reducing alcohol consumption by overcoming alcohol attentional bias. Drug and Alcohol Dependence. 2009; 101(3):137-45. [DOI:10.1016/j.drugalcdep.2008.11.015] [PMID]
  28. Bickel WK, Yi R, Landes RD, Hill PF, Baxter C. Remember the future: Working memory training decreases delay discounting among stimulant addicts. Biological Psychiatry. 2011 1 ;69(3):260-5. [DOI:10.1016/j.biopsych.2010.08.017] [PMID]   
  29. Delonca D, Trouillet R, Alarcon R, Nalpas B, Perney P. Relationships between attentional bias and craving in alcohol use disorder: Role of metacognitions. Addictive Behaviors. 2021; 117:106846.  [DOI:10.1016/j.addbeh.2021.106846] [PMID]
  30. Khemiri L, Brynte C, Stunkel A, Klingberg T, Jayaram-Lindström N. Working memory training in alcohol use disorder: A randomized controlled trial. Alcoholism, Clinical and Experimental Research. 2019; 43(1):135-46. [PMID]


 
Type of Study: Original Research | Subject: Psychiatry and Psychology
Received: 2023/07/22 | Accepted: 2023/12/21 | Published: 2024/01/1

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