Literature DB >> 33871894

Impact of COVID-19-related stress on methamphetamine users in Japan.

Toshihiko Matsumoto1,2, Takashi Usami1,2, Taisuke Yamamoto1, Daisuke Funada2, Maki Murakami1,2, Kyoji Okita1,2,3, Takuya Shimane1.   

Abstract

Entities:  

Year:  2021        PMID: 33871894      PMCID: PMC8251041          DOI: 10.1111/pcn.13220

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   12.145


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Studies worldwide have observed that COVID‐19 pandemic‐related stress (such as the various constraints of everyday life, and anxiety) promotes the use of drugs as a coping behavior. , , , Access to alternative maintenance medication of patients with opioid addiction has been reported to have been restricted, resulting in aggravation of their medical conditions ; perhaps relatedly, opioid‐overdose deaths have increased. In Japan, however, the current situation is unknown. We therefore sought to investigate the negative impact of COVID‐19 on drug users who take methamphetamine (MAP), which is one of the most abused drugs in Japan. Biennially, we conduct national surveys of patients with drug‐related psychiatric disorders who were admitted to or received outpatient treatment at psychiatric hospitals throughout Japan between September and October of that year. Information is collected via survey forms mailed to each target hospital, where the attending psychiatrist enters clinical information into the form by transcribing medical records and by conducting interviews. Survey items include demographic variables, education, work status, criminal record, presence/absence of problem drinking, duration of therapy, recovery program (group therapy or self‐help group) participation status, mainly used drug, and ICD‐10 diagnoses. The 2020 survey added two items: COVID‐19‐related relapse (aggravation of substance abuse due to COVID‐19‐related stress, which was clinically determined by each attending psychiatrist), and COVID‐19‐related inhibition of recovery program participation (group therapy and self‐help groups having been temporarily suspended as social distance cannot be ensured in such settings). This study was conducted after approval by the ethics committee of the National Center of Neurology and Psychiatry, and it is conformed to the provisions of the Declaration of Helsinki. The attending psychiatrist gave informed consent, and patient anonymity has been preserved. In the 2020 survey, 1217 (78.1%) of 1558 target hospitals nationwide provided data on 2733 patients with drug‐related psychiatric disorders (95.6% of 2859 patients consented this survey); of these, the 1461 patients (1076 men, 385 women) who used MAP as a main drug were the subjects of the present study, and 407 patients (27.9%) had used MAP within the past year while the rest (72.1%) had maintained no use of MAP by continuing treatment. Of the subjects, the 85 patients (5.8%) were considered to have a COVID‐19‐related relapse. Table 1 shows the results of a logistic regression analysis conducted by setting COVID‐19‐related relapse as the dependent variable and the survey terms as independent variables. Male sex (P = 0.038, OR 2.031, 95%CI 1.041–3.962), current problem drinking (P = 0.012, OR 2.150, 95%CI 1.183–3.905), COVID‐19‐related inhibition of recovery program participation (P < 0.001, OR 5.866, 95%CI 3.271–10.520), Dependence Syndrome (P < 0.001, OR 7.603, 95%CI 2.569–22.501), and coexisting Childhood/Adolescence‐onset Behavioral and Emotional Disorders (CABED) (P = 0.014, OR 2.604, 95%CI 1.213–5.589) were identified as being significantly positively associated with COVID‐19‐related relapse. Duration of therapy ≥1 year (P = 0.005, OR 0.416, 95%CI 0.225–0.768) was identified as being significantly negatively associated with relapse.
Table 1

Comparison by presence/absence of COVID‐19‐related worsening of drug usage in 1461 cases with methamphetamine‐related disorders

COVID‐19‐related relapseMultivariate analysis
YesNoBWald P Odds ratio95% CI
N=85N=1376LowerUpper
Biological gender (percentage of men)Frequency7010060.7084.316 0.038 2.0311.0413.962
%82.473.1
Age (percentage of subjects ≥40 years old)Frequency551028‐0.1660.3790.5380.8470.5001.436
%64.774.7
Schooling history of ≥12 yearsFrequency504470.4382.5940.1071.5490.9092.639
%58.832.5
Current employmentFrequency31365‐0.0870.1030.7480.9170.5401.557
%36.526.5
Custody/arrest record due to drug‐related crimesFrequency631042‐0.2420.5850.4440.4850.4221.460
%74.175.7
Custody/arrest record due to criminal offenses other than drug‐related crimesFrequency17338‐0.3771.2460.2640.6860.3531.330
%20.024.6
History of admission to a correctional institutionFrequency31772‐0.4402.1080.1470.6440.3561.166
%36.556.1
Current problem drinkingFrequency192070.7656.314 0.012 2.1501.1833.905
%22.415.0
History of admission to a psychiatric hospitalFrequency37847‐0.2240.6370.4250.7990.4611.386
%43.561.6
Duration of therapy ≥1 yearFrequency591184‐0.8777.860 0.005 0.4160.2250.768
%69.486.0
Participated in a recovery program within the last monthFrequency484570.0010.0000.9971.0010.5831.719
%56.533.2
COVID‐19‐related inhibition of participation in recovery programsFrequency484571.76935.243 <0.001 5.8663.27110.520
%56.533.2
ICD‐10 F1 classification subdiagnosisF1x. 2Dependence syndromeFrequency817972.02913.429 <0.001 7.6032.56922.501
%95.357.9
F1x. 5Psychotic disorderFrequency102000.1370.1180.7311.1470.5252.506
%11.814.5
F1x. 7Residual and late‐onset psychotic disorderFrequency10610‐0.4101.0810.2990.6630.3061.438
%11.844.3
Comorbid psychiatric disorderF0Organic, including symptomatic, mental disordersFrequency039‐17.2310.0000.9980.000
%0.02.8
F2Schizophrenia, schizotypal and delusional disordersFrequency6154‐0.1500.1000.7520.8600.3382.188
%7.111.2
F3Mood (affective) disordersFrequency171780.3411.0720.3011.4060.7372.682
%20.012.9
F4Neurotic, stress‐related and somatoform disordersFrequency12154‐0.0020.0000.3010.9980.4852.054
%14.111.2
F5Mental disorders associated with physiological disturbances and physical factorsFrequency2221.1001.8540.1733.0040.61714.632
%2.41.6
F6Disorders of adult personality and behaviorFrequency9820.7503.0460.0812.1160.9124.911
%10.66.0
F7Intellectual disabilities (mental retardation)Frequency160‐1.0370.8920.3450.3550.0413.048
%1.64.4
F8Disorders of psychological developmentFrequency236‐0.4190.2650.6070.6580.1343.048
%2.42.6
F9Behavioral and emotional disorders with onset usually occurring in childhood and adolescenceFrequency12530.9576.027 0.014 2.6041.2135.589
%14.13.9
Comparison by presence/absence of COVID‐19‐related worsening of drug usage in 1461 cases with methamphetamine‐related disorders The results of this study indicate that, for MAP‐dependent patients who recently started their treatment, and therefore, who might not have achieved abstinence yet, the COVID‐related barriers to participation in group therapy and self‐help groups may increase risk of relapse. Our study also suggests that alcohol use (possibly also to cope with COVID‐19‐related stress) may increase the relapse risk in male MAP users. Furthermore, a ‘stay‐at‐home’ lifestyle is speculated to be stressful to promote relapse in those who suffer from attention‐deficit/hyperactive disorder (ADHD), the most common CABED. These findings may indicate the significance of continuing to implement group therapy and holding self‐help groups under this pandemic, while considering social distance to prevent the spread of infection. This study also suggests that people with drug addictions should be wary when adapting to new ‘self‐restraint’ and ‘stay home’ lifestyles during a pandemic, how to deal with alcohol, the socially accepted substance, and how to reconcile their ADHD, which may be a vulnerable factor for such lifestyle. This study was conducted in MAP users who had access to a psychiatric hospital. Therefore, there are limitations regarding whether our findings can be generalized to all MAP users. Another limitation is that all study information, including whether the relapse was COVID‐19‐related, was determined solely by each participating hospital's attending psychiatrist. Moreover, the economic impact of the special fixed‐amount benefits (such unexpected income may ironically fund the purchase of MAP promoting relapse), and whether online group therapy and self‐help groups are as effective as in‐person gatherings were not considered. Despite these limitations, this is the only Japanese study to date to investigate the impact of COVID‐19 on MAP users; therefore this study not only has clinical implications, but is also important with regard to public health.

Disclosure statement

We declare that all authors have no interest of conflicts.
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