Comorbidity of mood disorders and substance use disorder

 

Bagher Vafaee MD·

 

Department of Psychiatry, Tabriz University of Medical Sciences, Tabriz, Iran

 

·Correspondence: B. Vafaee MD, No. 310, Shaheed Beheshti St., Tabriz, Iran. Fax: +98-411-3803351, E-mail: vafaii_b@yahoo.com.


Background Numerous studies in various countries have documented comorbidity of mood disorders and  substance use disorder, but little have been published on this subject from Iran. This study was performed to investigate such comorbidity in patients with substance use disorder.

Methods The subjects of the study were 1,017 opioid-dependent patients referred to or taken care of in Razi Psychiatric Hospital and Private Psychiatric Clinic of Tabriz University of Medical Sciences, Tabriz, Iran. They were assessed by means of Symptom Check List-90 Revised (SCL-90 R), the fourth edition of diagnostic and statistical manual of mental disorders (DSM-IV) criteria and Beck test which had been translated to Persian in three years (from August 1998 to July 2000). All of the subjects were unpaid and volunteers. We used SPSS 11.5 for our statistical analysis and ethical principles were considered in all stages of the study.

Results The comorbidity rate of all types of mood disorders with every substance use disorder was found in 71.2% of all subjects. Of the studied subjects, 31.2% were of low education (could only read and write). The frequency of dysthymic disorder was 6.6% and the mean score of global assessment function was 57.6%.

Conclusion The comorbidity of psychiatric disorders, especially mood disorders, with substance use disorder is frequent, with the most potent and generous substances having the highest comorbidity rates.


Keywords · comorbidity · mood disorders · substance dependence


 

Introduction

 

T

he prevalence of psychiatric disorders in opioid-dependent individuals is high.  About 70 to 90% of people with opioid dependence have an additional psychiatric disorder.1 – 6

The most common comorbid psychiatric diagnoses are depression, alcohol-related disorders, antisocial personality disorder, and anxiety disorder.1, 7 – 9 About 15% of people with opioid dependence attempt to commit suicide at least once.6 Comorbidity with other psychiatric diagnoses highlights the need for extensive treatment programs that also address patients’ associated psychiatric disorders.1, 2, 10, 11

After the Islamic revolution in Iran, the problem of alcoholic drinks has been controlled owing to their public use and distribution prohibition by the government, however, opioid-related problems have not yet been solved despite extensive control measures.10 The latest statistics estimate the prevalence of opioid addicts at 2%.12 The figures provided by Welfare Organization (Behzisty) concomitant with The United Nations International  Drug Control Program (UNDCP) indicate that there are 1,200,000 real addicts and 800,000 fairly opioid-dependent individuals.13, 14 Based on the above-mentioned facts, we tried to investigate the comorbidity of mood disorders among substance users in two centers of  Tabriz University of Medical Sciences.

 

Patients and Methods

 

From August 1998 to July 2000, 1,017 opioid-dependent patients referred to or taken care of in Razi Psychiatry Hospital and Private Psychiatric Clinic of Tabriz University of Medical Sciences were investigated by selected residents under supervision of the author. We used Symptom Check List-90 Revised (SCL-90 R), the fourth edition of diagnostic and statistical manual of mental disorders (DSM-IV) criteria, and Beck test which were translated to Persian; the reliability and validity of the translations of these scales and tests were improved by statistical analysis (SPSS) and psychiatrists of Tabriz University of Medical Sciences. In addition, all of these criteria and tests were chosen from reference books,4, 5 and medical ethics and common sense were considered in all aspects of the study.

Table 1. Sex distribution of opioid-dependent subjects.

Male

Female

Total

980

37

1017

94.3%

3.7%

100%

 First of all, the diagnosis of mood disorders was established for each patient. Afterwards, substance dependence was detected based on the statements of each patient and his relatives (history), physical examination, and urinalysis (in suspicious patients). Subjects were all unpaid volunteers and their functions were assessed using DSM-IV Global Assessment Functioning (GAF) scale.

 

Results

 

As it is evident in Table 1, the subjects were predominantly males (94.3%). According to Table 2 which shows the education level of the subjects, 31.2% of them had received poor education; they could only read and write.

Table 3 shows that the most frequent age distribution of addicts is in the 20 – 40 years age group, which implies an increased risk of opium dependence among young adults. The mean age was 28.07.

In addition to substance use disorders, 71.2% of opioid-dependent subjects also met the criteria of mood disorders according to SCL-90 R, Beck test, and DSM-IV criteria (Table 4).

Opioid-dependent individuals frequently suffer from psychiatric disorders such as depressive disorder, alcohol-related disorder, anxiety, and antisocial personality disorder.4, 14 – 16 Opioid- related disorders a lifetime mood disorder excluding substance use disorder in 67.4% subjects. 

A lifetime  substance  use disorder was found to be 59.6%. The mean score of global assessment function was 57.6%.

 

Table 2. Education level of the opioid-dependent subjects.

 Education

Frequency

Percentage

Illiterate

248

24.3

Reading and writing

376

31.23

Primary

272

26.8

Guidance and high school

123

17.98

Total

1,017

100

 
Discussion
 
Opioid dependency is a global problem influenced by various factors such as social and  political conditions as well as the individual’s family status and his psychological and physical characteristics. It is also closely related to psychiatric diseases and physical advers effect especially hepatitis B, endocarditis, pneumonia, tuberculosis, pneumothorax, nephrotic syndrome, peripheral neuropathy, transverse myelitis, cerebral abscess, AIDS, bacterial infection, meningitis, osteomyelitis, and abscesses.1, 15, 16

Many studies have reported a high rate of comorbidity in opioid abusers. According to the commonest recognition of the psychiatrist, 70 to 90% of opioid-dependent individuals suffer from psychiatric disorders such as depressive disorder, alcohol-related disorders, anxiety, and antisocial personality disorder. 4, 14 – 16 Opioid-related disorders are the source of some physical and psychiatric disorders.16, 6, 7 Other studies have repoted lifetime comorbidity rates of substance use and mood disorders to be 19%, 60%, and more than 70%.11 In the present study, we found a comorbidity rate of 71.2% which may be explained by differences in populations and method of interview. Variety in the diagnostic systems may also produce different rates of comorbidity especially for mood disorders. In our study, substance-induced mood disorder rate was found to be 59.4%, which compared to the 59.6% rate found in other studies.

Table 3. Distribution of opium dependence in different age groups.

Age group

Frequency

Percentage

15 – 19

263

26.182

20 – 24

285

28.07

25 – 29

249

24.60

30 – 35

215

21.13

Total

1,017

100

Control of opioid dependence among youngsters and teenagers demands the mobilization of all of the responsible organizations. The early results of the studies done by the UN in years 1998 and 1999, to estimate the misuse of narcotics in Iran, shows that 93.4% of the opioid-dependent individuals are 23 to 44 year-old males. On the other hand, 56.7% of the interviewees and 98% of the opioid-dependent were married and lived with their parents.14

Table 4. Lifetime and current comorbidity rates of mood disorders (Symptom Check List-90 Revised, Beck test, and interview according to DSM-IV for mood disorders) and opioid dependency.

Disorders

Lifetime

Current

n

%

n

%

All mood disorders (excluding substance use disorders)

60

67.4%

724

71.2%

Mood disorders

Substance-induced mood disorder

53

59.6%

430

59.4%

Dysthymic disorder

0

0

48

6.6%

Mood disorder due to general medical condition

2

2.2%

48

6.6%

Major depressive disorder

3

3.4%

74

10%

Bipolar I disorder

1

1.1%

34

4.6%

Bipolar II disorder

0

0

28

3.8%

Other bipolar disorders

1

1.1%

43

5.9%

Depressive disorder not otherwise specified (NOS)

0

0

19

2.6%

n = number

 Similar to the studies performed by the Welfare Organizations, this study showed that most of the substance-dependent individuals were males.14   This study also showed that most opioid-dependent individuals were young adults, which confirmed the study conducted in Iran by the UN with the cooperation of Welfare Organization and Chein (1956), London.13, 16 It is a warning to the nation calling for proper decisions and solutions by the responsible.

Another finding of this study was the fact that the opioid-dependents were frequently found to be of low education or illiterate, therefore, eradicating illiteracy and facilitating education should be continued. The study also showed that most of the opioid-dependents were unemployed. Decreasing unemployment can prevent opioid-dependence disorder. Finally, it is noteworthy that due to the high comorbidity rates of mental disorders with opioid dependency, there should be a vast treatment plan to cure opioid dependency and mental disorders.

 

Acknowledgments

 

The author is thankful to Dr. Reza Taheri and Dr. Ali Vafaee for their cooperation in completing this study.

            

References

 

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