Skip to main content

The therapeutic effects of methylphenidate and matrix-methylphenidate on addiction severity, craving, relapse and mental health in the methamphetamine use disorder



Little evidence has examined the therapeutic effects of methylphenidate (MPH) and Matrix Model treatment on addiction severity, craving, relapse and mental health in people who use methamphetamine (PWUM). This study was conducted to determine the effects of MPH, Matrix Model treatment, and Matrix-MPH on addiction severity, craving, relapse and mental health in PWUM.


This clinical trial was conducted among 100 patients with METH users. Participants were randomly divided into four groups who received: 1) 22 sessions of 45-min, twice a week for Matrix Model treatment (n = 25); 2) MPH 10 mg/day in the first month, 7.5 mg/day in the second month and 5 mg/day in the third month (n = 25); 3) Matrix Model treatment combined with MPH (n = 25); 4) control group (n = 25) for 12 weeks. Addiction severity, craving, relapse and mental status were evaluated at baseline and end-of-trial.


Matrix Model treatment combined with MPH significantly reduced MA craving (P < 0.001) and addiction severity (P < 0.001). In addition, Matrix Model treatment combined with MPH resulted in a significant increase of mental health (P = 0.001), compared with Matrix Model treatment, MPH, and control group. Also, negative METH urine test significantly increased in the Matrix Model treatment combined with MPH group compared with the other groups (P < 0.001).


In conclusion, Matrix Model treatment combined with MPH for 12 weeks had beneficial effects on addiction severity, craving, relapse, and mental health in PWUM, compared with Matrix Model treatment, MPH, and control group.

Trial registration

This study was retrospectively registered in the Iranian website ( for clinical trials registration ( IRCT20171105037245N1). Registration date: 9 December 2017.


Methamphetamine (METH) is a widely used illicit drug. In the world, between 162 and 324 million people used an illicit drug (heroin, cannabis, cocaine, and amphetamine type stimulants) at least once in the previous year. METH is a highly addictive psycho-stimulant and a current health concern in Iran [1, 2]. The prevalence of METH dependence is less than 1 % in the general population of Iran [3]. Among of these actions, MMT could be introduced as an effective treatment which enables the enhancement of the quality of life and social functioning [4]. Despite successful implementation of MMT, some barriers and challenges still have remained. Various reports revealed that the prevalence of METH use in Iran has increased among MMT patients [2, 5]. PWUM is associated with several psychiatric impacts such as elevated craving, withdrawal syndrome and relapse [6,7,8].

Main strategy for managing stimulant disorders is psychosocial interventions (e.g, Matrix Model treatment and the Cognitive Behavioral Therapy) in Iran and in the world. Also, motivational interviewing, cognitive behavioral therapy, family therapy, and contingency management could be employed as treatments for PWUM [9,10,11]. According to the current evidence, the Matrix Model treatment was provided at a few MMT centers as an approach for treating stimulant disorders, especially cocaine and METH [3, 12, 13]. The Matrix Model helps patients to get necessary and appropriate information to build a healthy life-style support to withdrawal drugs. However, to the best of our knowledge, we did not find any meta-analysis related to the pharmacotherapy or Matrix in PWUM. In a pilot study conducted by Rawson et al. [14], reduction in alcohol and cocaine use and improvement in some psychological symptoms was seen after Matrix Model treatment. In addition, evidence indicated the efficiency of matrix treatment approach in the enhancing self-efficacy and preventing relapse for patients withdrawal METH [15].

Pharmacotherapy has been emerged as a new platform in the treatment of drug use. This therapy can have some benefits. Regardless of various benefits, there are different challenges to utilize pharmacologic components in order to attain the best method of therapy in drug use. From the psychotic disturbance perspective, the impact of MPH on drug use therapy has been confirmed [16]. MPH is a nor-adrenaline and dopamine re-uptake inhibitor with agonist-like activity. As a result, it has the potential to be used as a therapeutically substitute for METH and amphetamine [17]. Tiihonen et al. [18] showed the administration of 54 mg/day MPH compared with aripiprazole to patients with severe amphetamine dependence for 20 weeks led to a significant fewer amphetamine positive urine. Also, evidence studies have demonstrated that both risperidone and MPH can be useful for treatment of PWUM, in order to decrease the drug craving and somatic, psychological, and neurologic problems [19]. However, in another study, MPH administration was associated with no changes in the percentage of positive urines [20]. Matrix model and Methylphenidate have been suggested to act jointly rather than independently. Existing evidence shows that joint Matrix model with Methylphenidate treatment is much more efficient in influencing severity of addiction, craving, relapse and mental health than single Matrix model or MPH treatment.

To our best knowledge, studies demonstrating the effects of MPH, Matrix Model treatment and matrix-MPH on clinical symptoms improvement (e.g., addiction severity, craving, relapse and treatment retention) in PWUM are scarce. Therefore, we hypothesized that joint Matrix model with Methylphenidate treatment is better than single Matrix model or Methylphenidate treatment on addiction severity, craving, relapse and mental health among PWUM.


Trial design and participants

This study was registered in the Iranian website for clinical trials ( IRCT20171105037245N1). This clinical trial was performed on 100 patients with PWUM, 20 to 48 years old, who were referred to the Faraby Hospital Substance Dependency Clinic in Kermanshah, Iran. All participants fulfilled The Declaration of Helsinki requirements and signed an informed consent. This study was approved by the ethics committee of Kashan University of Medical Sciences (IR.Kaums.REC.1396.59).

Inclusion criteria

Patients were included if they had any of the following criteria: aged 20 to 48 years, METH dependence, as assessed by the substance use section of the Structured Clinical Interview for DSM-IV, Seeking treatment for METH use, at least weekly self-reported METH use during a preceding three month period.

Exclusion criteria

Patients were excluded if they had any of the following criteria: unwillingness to participate, having severe psychotic disorders in the past 6 months, suicide attempts within the past 12 months, alcohol, sedative physical dependence and cocaine dependence, present or recent use (within 2 weeks) of over-the-counter or prescription drug that would be expected to have major interaction with MPH, major cardiovascular disorder and epilepsy.

Study design

This study was conducted from November 2017 to February 2018 among volunteers from PWUM in Faraby Hospital Substance Dependency Clinic in Kermanshah, Iran. All patients received MMT program. Methadone was consumed in the form of syrup by patients. The patients were divided into four groups: Matrix Model treatment, MPH, Matrix-MPH and control groups by a trained staff. The first group (25 people) was treated with Matrix Model treatment for 22 sessions of 45 min, twice a week for three months (Table 1) [13, 14, 21]. Also, the second group (25 people) was received MPH 10 mg/day in the first month, 7.5 mg/day in the second month and 5 mg/day in the third month. The third group (25 people) was received Matrix Model treatment combined with MPH. The control group (25 people) had no intervention. MPH tablets were purchased from Novartis Company (Switzerland). The study was explained to each individual before starting and written consent was obtained. The psychiatric and medical information, history of illicit drug use, social status and demographic data of patients were evaluated through a pre-designed structured clinical interview.

Table 1 Summary of Matrix Treatment Sessions


Randomization assignment was done using computer-generated random numbers and was done by a trained staff at the clinic as a blind.


Craving and addiction severity were considered as the primary outcomes of interest and mental health and relapse were considered as the secondary outcomes.

Clinical measures


METH craving was assessed with Desire for Drug Questionnaire (DDQ) designed by Franken et al. [22]. DDQ is used for heroin dependents to evaluate heroin craving at the moment. In a study by Franken et al., the total Cronbach’s alpha was reported to be 0.85 for general credit questionnaire. In addition, according to Abharian et al. in 2016, this score was reported to be 0.75 for general credit questionnaire in Persian-speaking users [23].

Mental health

General health questionnaire (GHQ-12)

GHQ-12 includes 12 items rated on a 4-point Likert scale (0 = Not at all to 4 = Much more than usual). A study on 421 adult outpatients in Germany has reported high internal consistency for GHQ-12 (α = 0.91) [24]. In Iran, psychometric properties of GHQ-12 were assessed by Montazeri et al. The above-mentioned study was conducted among 748 young people, showed that GHQ-12 is well-validated with a Cronbach alpha coefficient of 0.87 [25].


The patients’ urine tests were examined for the presence of amphetamine, METH, and methadone at the beginning of the study and on every three weeks visit. These tests were performed to assess relapse for patients.

Severity of addiction

Leeds Dependence Questionnaire (LDQ) was designed to measure the degree of dependency from mild to severe. It is used to assessment the dependency of various substances. LDQ-10 items are a based on a four-point Likert scale. Cronbach’s alpha was demonstrated to be 0.94 and test-retest reliability was 0.95 [26]. In Iranian population, LDQ was assessed by Habibi et al., and Cronbach’s alpha was 0.90 [27].

Sample size

In this study, we were used a randomized clinical trial sample size calculation formula where type one (α) and type two errors (β) were 0.05, and 0.20 (power = 80%), respectively. According to our previously published trial [20], we were used s1, s2, μ1 and μ2 of the craving score in the MPH and placebo groups were respectively 32.9, 31.9, 61.7, and 50. Based on the formula, we needed 20 participants in each group. After allowing for 5 dropouts in each group, the final sample size was 25 persons in each group.

Statistical analysis

The Kolmogorov-Smirnov test was done to determine the normality of data. ANOVA and chi-square test was used to detect differences in general characteristics between the four groups. To determine the effects of MPH and Matrix-MPH on addiction severity, craving and mental health, we used ANCOVA and Bonferoni post hoc pair-wise comparisons. Also, since the patients relapse rate were examined over the study period for five times, logistic regression analysis with GEE approach was run to assess the treatment effects on it, regarding 0 and 1 codes as the positive and negative urine test results, respectively. All statistical analyses were done using the Statistical Package for Social Science version 18 (SPSS Inc., Chicago, Illinois, USA).


Among patients in the Matrix Model treatment group, 5 individuals [imprisonment (n = 1) and the personal reasons (n = 4)], in the MPH group, 3 individuals [withdraw (n = 1) and health problems (n = 2)], and in the Matrix Model treatment combined with MPH group, 4 individuals [withdraw (n = 2) and the personal reasons (n = 2)] were excluded. The exclusions in the control group were 3 patients [the personal reasons (n = 3)]. Finally, 85 patients [Matrix Model treatment (n = 20), MPH (n = 22), matrix combined with MPH (n = 21), and control (n = 22)] completed the trial (Fig. 1).

Fig. 1
figure 1

Summary of patient’s flow diagram

In each visit, patients were asked about the side-effects. The grade 1 side-effects were reported following the using MPH in the Matrix Model treatment combined with MPH and MPH group [e.g., loss of appetite, insomnia, abdominal pain, constipation, headache, and dry mouth]. The severity of the side-effects was mild, and which did not lead to excluding any patients from the study (Table 2). Based on the results, MPH was safe by PWUM during MMT programs.

Table 2 Frequency of side effects in MPH and Matrix Model treatment combination with MPH

Mean age, education status, marital status, job, dose of METH use, duration of METH use, frequency of METH use, duration of MMT, and methadone dose at baseline and end-of-trial were not significantly different between four groups (Table 3).

Table 3 General characteristics of study participants1

No significant differences were observed among four groups in terms of baseline values of DDQ, LDQ, and GHQ. Matrix-MPH group, compared with Matrix Model treatment, MPH, and control group, led to reduced DDQ score (P < 0.001), LDQ score (P < 0.001), and GHQ score (P = 0.001) (Table 4).

Table 4 The effect of Matrix Model treatment, MPH and matrix-methylphenidate on clinical parameters in METH users 1

In four groups, all METH urine tests were positive in the beginning of the trial. Over the next few weeks, METH Positive Urine test (MPUT) were gradually reduced in four groups, but the reduction was greater in Matrix-MPH group compared with other groups. Twenty percent (4/20) in Matrix Model treatment group, 40.9% (9/22) in MPH group, 61.9% (13/21) in Matrix-MPH group, and 5% (1/22) in the control group had negative METH urine tests in the last week. In addition, our study revealed that there was a significant effect in METH positive urine tests among four groups (P < 0.001). GEE logistic regression model revealed Matrix Model treatment combined with MPH had an effective treatment on relapse rate with odds ratio 7.63 (CI; 2.82–20.67) compared with other groups (Table 5).

Table 5 The effect of Matrix Model treatment and MPH on METH Positive Urine test (MPUT) 1


The current study compared the efficacy of two therapies MPH and Matrix-MPH on reducing METH craving, addiction severity, relapse, and mental health in PWUM. Results showed that Matrix-MPH was effective in reducing METH craving, addiction severity, relapse, and improvement of mental health symptoms. In the current study, the effect size of LDQ and GHQ was nearly 0.2 means that the score of average person in the co-treatment group was nearly 0.2 standard deviations above the average person in other groups, and hence exceeds the scores of 58% of other groups. In addition, the effect size of DDQ was nearly 0.38 means that the score of the average person in the co-treatment group was 0.38 standard deviations above the average person in other groups, and hence exceeds the scores of 68% of other groups. It must be kept in mind that in the current study, METH use parameters at baseline demonstrated that individuals were using METH for a maximum of 2.3 years. Long-term PWUM may lead to abnormal findings in CNS, renal, skin, and gastrointestinal. Therefore, METH heavy users for a longer time may require longer treatment duration. Previous study showed that mental and clinical disturbances were present in PWUM under MMT. Based on these findings, Matrix Model treatment combined with MPH may be an appropriate adjunct therapy for PWUM. To our best knowledge, this clinical trial for the first time evaluated the effects of Matrix Model treatment and MPH on craving, addiction severity, relapse, and mental health in PWUM.

Effects on mental health

Addiction is a mental disturbance that influences all aspects of life, family, individual health, and society [28]. PWUM under methadone therapy program are susceptible to several mental disturbances (e.g., depression, and anxiety) [29, 30]. We found that Matrix Model treatment, Matrix Model treatment combined with MPH, and MPH to PWUM in methadone therapy program for 12 weeks improved general health indexes. Few studies have shown the beneficial effects of Matrix Model treatment and MPH on psychological parameters in subjects without METH users under methadone therapy program, though the results are controversial. The Matrix Model treatment applies to mental health systems of care [31,32,33]. Masaeli et al. [34], shown that Matrix Model treatment intervention is effective in improving anxiety, depression and quality of life in PWUM, as well as their caregivers. Also, previous evidences demonstrated the beneficial effects of cognitive methods on posttraumatic stress disorder (PTSD) symptoms, and depression signs in non-amphetamine users [35, 36]. In two randomized controlled trials, MPH administration among subjects with terminal disease had beneficial effects on fatigue symptom, and depression rating scales [37, 38]. In addition, MPH intake ameliorated clinical symptoms (e.g. apathy, depression, and activities of daily living scales) in elderly patients with dementia of Alzheimer type [39]. However, MPH administration showed no changes in anxiety state by children suffering from attention deficit hyperactive disorder [40]. In explaining the effectiveness of Matrix Model treatment interventions on complications related to anxiety and mood, different factors involved in treatment process such as increasing social support, problem-solving skill, life style changes, behavior change, education about dependencies, training in relapse prevention, and family involvement which may decrease the patients’ mood problems [11, 41]. MPH may improve rating scales in mental health through regulating neurotransmitters in the brain such as dopamine, serotonin and norepinephrine [42].

Effects on craving, addiction severity, and relapse

Craving, withdrawal syndrome, physical, and psychological harms have been linked to amphetamine/methamphetamine use, especially with an enhancing frequency of use [6, 43, 44]. Our study supported that Matrix Model treatment combined with MPH for 12 weeks by PWUM under methadone therapy significantly reduced craving, relapse, and addiction severity. Some behavioral approaches including contingency management, cognitive behavior therapy, and the Matrix Model treatment might have effect on the treatment of PWUM. The Matrix Model treatment is an individualized outpatient regimen that has been used successfully to treat patients who use stimulants which is based on cognitive principles [45, 46]. The efficacy of Matrix Model treatment may be useful for amphetamine and cocaine dependence, and providing treatments for a longer time and developing efficacious relapse prevention strategies [13, 47, 48]. Some randomized placebo-controlled clinical trials showed the positive effect of MPH and Matrix Model treatment on craving, addiction severity, and relapse. It has been revealed in a study by Dolan that treatments should target self-efficacy in cocaine addict patients [49], and Matrix Model treatment helps improving self-efficacy in adolescents with substance use. In addition, Matrix Model treatment for 16 weeks by patients with cocaine-dependent had beneficial effects on better abstinence outcomes [50]. However, Matrix Model treatment showed no changes in any of the subscales of addiction severity between male and female METH users [21]. Matrix Model treatment acts as a comprehensive therapy that contains all necessary skills that both the family and the patient must learn to challenge life problems [13]. In Iran, about half of the centers offered METH psychological and pharmacological treatment services, although 89% of the therapeutic options focused on Matrix Model treatment [47]. Until now, no pharmacotherapy was associated with sufficient results and consistent evidence of effectiveness to support its use in routine treatment of PWUM [51]. Previously, it was reported that MPH has beneficial effects in subjects with ADHD. In addition, MPH may improve treatment retention resulting in reduced drug use that suggested higher doses may be optimal for some groups of amphetamine dependent [51,52,53]. Four studies used the control-released MPH (using 18, 36, 54 mg/day at the first, the second, and 7–17 weeks respectively) than placebo [18, 20, 54, 55]. Two studies indicated that MPH compared to placebo can decrease the number of amphetamine-positive urine samples [18, 54]. In third trial the self-reported days of PWUM [55], but not in a fourth study [20]. In has been shown that the MPH at 10 mg/day is able to decrease the craving symptoms less than risperidone [19]. The primary pharmacologic effect of MPH is to enhance nor-epinephrine activity and dopamine, which impacts reward system function. MPH actions such as nor-epinephrine and dopamine transporter inhibition, redistribution of the VMAT-2, and agonist activity at the serotonin type 1A receptor [56, 57]. Future evidence should be developed focusing on efficacy and long-term safety in PWUM under MMT program.


The present study had some limitations. Duration of this study was short. Long-term duration may lead to better effects. Also, we did not evaluate the effects of Matrix Model treatment and MPH on metabolic profiles and cognitive function. In addition, we could not evaluate the pain in our methadone therapy program. Another limitation was that no female subjects were in the project, as cultural considerations tend to prevent women from referring to MMT clinics in Iran.


In summary, the combination of the Matrix Model treatment with MPH in PWUM under a MMT program had a beneficial effect on addiction severity, craving, relapse, and mental health parameters. Further studies are needed to show the relative impact of Matrix Model treatment and MPH on PWUM under MMT program.

Availability of data and materials

The primary data for this study is available from the authors on direct request.



Desire for Drug Questionnaire


General Health Questionnaire


Leeds Dependence Questionnaire


METH Positive Urine test


  1. Drugs, UNOo., et al., Global Synthetic Drugs Assessment 2014 Amphetamine-type Stimulants and New Psychoactive Substances 2014.

  2. Alam-mehrjerdi Z, Mokri A, Dolan K. Methamphetamine use and treatment in Iran: a systematic review from the most populated Persian gulf country. Asian J Psychiatr. 2015;16:17–25.

    PubMed  Article  Google Scholar 

  3. Alammehrjerdi Z, Ezard N, Dolan K. Methamphetamine dependence in methadone treatment services in Iran: the first literature review of a new health concern. Asian J Psychiatr. 2018;31:49–55.

    PubMed  Google Scholar 

  4. Dolan KA, et al. A randomised controlled trial of methadone maintenance treatment versus wait list control in an Australian prison system. Drug Alcohol Depend. 2003;72(1):59–65.

    PubMed  Article  Google Scholar 

  5. Shariatirad S, Maarefvand M, Ekhtiari H. Methamphetamine use and methadone maintenance treatment: an emerging problem in the drug addiction treatment network in Iran. Int J Drug Policy. 2013;24(6):e115–6.

    PubMed  Google Scholar 

  6. Zorick T, et al. Withdrawal symptoms in abstinent methamphetamine-dependent subjects. Addiction. 2010;105(10):1809–18.

    PubMed  PubMed Central  Google Scholar 

  7. Hartz DT, Frederick-Osborne SL, Galloway GP. Craving predicts use during treatment for methamphetamine dependence: a prospective, repeated-measures, within-subject analysis. Drug Alcohol Depend. 2001;63(3):269–76.

    CAS  PubMed  Google Scholar 

  8. Grodin EN, Courtney KE, Ray LA. Drug-induced craving for methamphetamine is associated with neural methamphetamine Cue reactivity. J Stud Alcohol Drugs. 2019;80(2):245–51.

    PubMed  PubMed Central  Google Scholar 

  9. Minozzi S, et al. Psychosocial interventions for psychostimulant misuse. Cochrane Database Syst Rev. 2016;9:Cd011866.

    PubMed  Google Scholar 

  10. Tait RJ, et al. Six-month outcomes of a web-based intervention for users of amphetamine-type stimulants: randomized controlled trial. J Med Internet Res. 2015;17(4):e105.

    PubMed  PubMed Central  Google Scholar 

  11. Lee NK, Rawson RA. A systematic review of cognitive and behavioural therapies for methamphetamine dependence. Drug Alcohol Rev. 2008;27(3):309–17.

    PubMed  PubMed Central  Google Scholar 

  12. Massah O, Effatpanah M, Shishehgar S. Matrix model for methamphetamine dependence among Iranian female methadone patients: the first report from the most populated Persian gulf country. Iran Rehabil J. 2017;15(3):193–8.

    Google Scholar 

  13. Rawson RA, et al. A multi-site comparison of psychosocial approaches for the treatment of methamphetamine dependence. Addiction. 2004;99(6):708–17.

    PubMed  Google Scholar 

  14. Rawson RA, et al. An intensive outpatient approach for cocaine abuse treatment: the matrix model. J Subst Abus Treat. 1995;12(2):117–27.

    CAS  Google Scholar 

  15. Ghasemnezhad S, et al. The effectiveness of matrix treatment to relapse prevention and increase self-efficacy in people withdrawing methamphetamine. Int J Med Res Health Sci. 2016;5(8):340–5.

    Google Scholar 

  16. Volkow ND, et al. Therapeutic doses of oral methylphenidate significantly increase extracellular dopamine in the human brain. J Neurosci. 2001;21(2):Rc121.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Grabowski J, et al. Agonist-like, replacement pharmacotherapy for stimulant abuse and dependence. Addict Behav. 2004;29(7):1439–64.

    PubMed  Google Scholar 

  18. Tiihonen J, et al. A comparison of aripiprazole, methylphenidate, and placebo for amphetamine dependence. Am J Psychiatry. 2007;164(1):160–2.

    PubMed  Google Scholar 

  19. Solhi H, et al. Methylphenidate vs. resperidone in treatment of methamphetamine dependence: a clinical trial. Saudi Pharm J. 2014;22(3):191–4.

    PubMed  Google Scholar 

  20. Miles SW, et al. Extended-release methylphenidate for treatment of amphetamine/methamphetamine dependence: a randomized, double-blind, placebo-controlled trial. Addiction. 2013;108(7):1279–86.

    PubMed  Google Scholar 

  21. Hadadi R, et al. On the comparison of the therapeutic effects of matrix treatment on severity of addiction and mental health between female and male methamphetamine abusers. Res Addict. 2014;8(31):57–69.

    Google Scholar 

  22. Franken IH, Hendriksa VM, van den Brink W. Initial validation of two opiate craving questionnaires the obsessive compulsive drug use scale and the desires for drug questionnaire. Addict Behav. 2002;27(5):675–85.

    PubMed  Google Scholar 

  23. Hassani-Abharian P, et al. Validation for Persian versions of “desire for drug questionnaire” and “obsessive compulsive drug use scale” in heroin dependents. Arch Iran Med. 2016;19(9):659–65.

    PubMed  Google Scholar 

  24. Schrnitz N, Kruse J, Tress W. Psychometric properties of the general health questionnaire (GHQ-12) in a German primary care sample. Acta Psychiatr Scand. 1999;100(6):462–8.

    Google Scholar 

  25. Montazeri A, et al. The 12-item general health questionnaire (GHQ-12): translation and validation study of the Iranian version. Health Qual Life Outcomes. 2003;1(1):66.

    PubMed  PubMed Central  Google Scholar 

  26. Raistrick D, et al. Development of the Leeds dependence questionnaire (LDQ): a questionnaire to measure alcohol and opiate dependence in the context of a treatment evaluation package. Addiction. 1994;89(5):563–72.

    CAS  PubMed  Google Scholar 

  27. Habibi M, et al. Psychometric properties of Leeds dependence questionnaire (LDQ) in dependent people with drug and alcohol. Pajoohandeh J. 2016;21(3):153–60.

    Google Scholar 

  28. Le Moal M, Koob GF. Drug addiction: pathways to the disease and pathophysiological perspectives. Eur Neuropsychopharmacol. 2007;17(6–7):377–93.

    PubMed  Google Scholar 

  29. Glasner-Edwards S, et al. Depression among methamphetamine users: association with outcomes from the methamphetamine treatment project at 3-year follow-up. J Nerv Ment Dis. 2009;197(4):225–31.

    PubMed  PubMed Central  Google Scholar 

  30. Glasner-Edwards S, et al. Anxiety disorders among methamphetamine dependent adults: association with post-treatment functioning. Am J Addict. 2010;19(5):385–90.

    PubMed  PubMed Central  Article  Google Scholar 

  31. Soares S, de Oliveira WF. The matrix approach to mental health care: experiences in Florianopolis, Brazil. J Health Psychol. 2016;21(3):336–45.

    PubMed  Article  Google Scholar 

  32. Tansella M, Thornicroft G. A conceptual framework for mental health services: the matrix model. Psychol Med. 1998;28(3):503–8.

    CAS  PubMed  Article  Google Scholar 

  33. May ME, VandenBerg A. The role of methylphenidate in depression. Mental Health Clin. 2015;5(6):271–6.

    Article  Google Scholar 

  34. Masaeli N, et al. The effect of matrix model on depression, anxiety, and quality of life in methamphetamine users and their caregivers. Addict Disord Treat. 2018;17(4):186–90.

    Article  Google Scholar 

  35. Hides L, et al. Outcomes of an integrated cognitive behaviour therapy (CBT) treatment program for co-occurring depression and substance misuse in young people. J Affect Disord. 2010;121(1–2):169–74.

    PubMed  Article  Google Scholar 

  36. Zlotnick C, Johnson J, Najavits LM. Randomized controlled pilot study of cognitive-behavioral therapy in a sample of incarcerated women with substance use disorder and PTSD. Behav Ther. 2009;40(4):325–36.

    PubMed  Article  Google Scholar 

  37. Kerr CW, et al. Effects of methylphenidate on fatigue and depression: a randomized, double-blind, placebo-controlled trial. J Pain Symptom Manag. 2012;43(1):68–77.

    CAS  Article  Google Scholar 

  38. Ng CG, et al. Rapid response to methylphenidate as an add-on therapy to mirtazapine in the treatment of major depressive disorder in terminally ill cancer patients: a four-week, randomized, double-blinded, placebo-controlled study. Eur Neuropsychopharmacol. 2014;24(4):491–8.

    CAS  PubMed  Article  Google Scholar 

  39. Padala PR, et al. Methylphenidate for apathy and functional status in dementia of the Alzheimer type. Am J Geriatr Psychiatry. 2010;18(4):371–4.

    PubMed  Article  Google Scholar 

  40. Kritchman M, et al. Effect of methylphenidate on state anxiety in children with ADHD-A single dose, placebo controlled, Crossover Study. Front Behav Neurosci. 2019;13:106.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Eghbali H, et al. The effectiveness of matrix interventions in improving methadone treatment. Int J High Risk Behav Addict. 2013;1(4):159.

    PubMed  PubMed Central  Google Scholar 

  42. Kuczenski R, Segal DS. Effects of methylphenidate on extracellular dopamine, serotonin, and norepinephrine: comparison with amphetamine. J Neurochem. 1997;68(5):2032–7.

    CAS  PubMed  Google Scholar 

  43. Sommers I, Baskin D, Baskin-Sommers A. Methamphetamine use among young adults: health and social consequences. Addict Behav. 2006;31(8):1469–76.

    PubMed  Google Scholar 

  44. Zweben JE, et al. Psychiatric symptoms in methamphetamine users. Am J Addict. 2004;13(2):181–90.

    PubMed  Google Scholar 

  45. Winslow BT, Voorhees KI, Pehl KA. Methamphetamine abuse. Am Fam Physician. 2007;76(8):1169–74.

    PubMed  Google Scholar 

  46. Rawson RA, McCann MJ. The matrix model of intensive outpatient treatment. Behav Health Recov Manag. 2005;3:1–37.

    Google Scholar 

  47. Rezaee S, et al. A trend study on media representation and economic circulation of drug addiction treatment market in Iran: development of opioid maintenance services and emergence of treatment menu for amphetamines. Iran J Psychiatry Behav Sci. 2019;13(1):e66885.

    Google Scholar 

  48. Vocci FJ, Montoya ID. Psychological treatments for stimulant misuse, comparing and contrasting those for amphetamine dependence and those for cocaine dependence. Curr Opin Psychiatr. 2009;22(3):263.

    Google Scholar 

  49. Dolan SL, Martin RA, Rohsenow DJ. Self-efficacy for cocaine abstinence: pretreatment correlates and relationship to outcomes. Addict Behav. 2008;33(5):675–88.

    PubMed  Google Scholar 

  50. Shoptaw S, et al. The matrix model of outpatient stimulant abuse treatment: evidence of efficacy. J Addict Dis. 1994;13(4):129–41.

    CAS  PubMed  Google Scholar 

  51. Lee NK, et al. Pharmacotherapy for amphetamine dependence: a systematic review. Drug Alcohol Depend. 2018;191:309–37.

    CAS  PubMed  Google Scholar 

  52. Konstenius M, et al. Sustained release methylphenidate for the treatment of ADHD in amphetamine abusers: a pilot study. Drug Alcohol Depend. 2010;108(1–2):130–3.

    CAS  PubMed  Google Scholar 

  53. Konstenius M, et al. Methylphenidate for attention deficit hyperactivity disorder and drug relapse in criminal offenders with substance dependence: a 24-week randomized placebo-controlled trial. Addiction. 2014;109(3):440–9.

    PubMed  Google Scholar 

  54. Rezaei F, et al. Sustained-release methylphenidate in methamphetamine dependence treatment: a double-blind and placebo-controlled trial. Daru. 2015;23:2.

    PubMed  PubMed Central  Google Scholar 

  55. Ling W, et al. Sustained-release methylphenidate in a randomized trial of treatment of methamphetamine use disorder. Addiction. 2014;109(9):1489–500.

    PubMed  PubMed Central  Google Scholar 

  56. Engert V, Pruessner JC. Dopaminergic and noradrenergic contributions to functionality in ADHD: the role of methylphenidate. Curr Neuropharmacol. 2008;6(4):322–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Evers EA, Stiers P, Ramaekers JG. High reward expectancy during methylphenidate depresses the dopaminergic response to gain and loss. Soc Cogn Affect Neurosci. 2017;12(2):311–8.

    CAS  PubMed  Google Scholar 

Download references


The present study was supported by a grant from the Vice-chancellor for Research, KUMS, Kashan, and Iran. This research was supported by Clinical Research Development Unit-Matini/Kargarnejad Hospital, Kashan University of Medical Sciences (KAUMS/96128).


The present study was supported by a grant from the Vice-chancellor for Research, KAUMS, Iran.

Author information

Authors and Affiliations



NA and AO contributed in design, conception, data collection, and manuscript drafting. HR, MS, and PM contributed in statistical analysis. NA, HRB, VF, JSH, MA, PM, and AGH contributed in data collection and manuscript drafting. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Abdollah Omidi.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Aryan, N., Banafshe, H.R., Farnia, V. et al. The therapeutic effects of methylphenidate and matrix-methylphenidate on addiction severity, craving, relapse and mental health in the methamphetamine use disorder. Subst Abuse Treat Prev Policy 15, 72 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Methamphetamine
  • Methadone
  • Methylphenidate
  • Matrix model treatment
  • Craving
  • Relapse
  • Mental health