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The relationship between self-reported substance use and psychiatric symptoms in low-threshold methadone maintenance treatment clients



Ongoing psychiatric symptoms and substance use are common difficulties experienced by clients enrolled in methadone maintenance treatment (MMT). However, little research to date has evaluated if specific types of current substance use are related to specific types of current psychiatric symptoms. The present study investigated these relationships with a sample of clients enrolled in a low-threshold MMT program (i.e., clients are not expelled if they continue to use substances). Some clients enrolled in low-threshold programs may never achieve complete abstinence from all substances. Thus, understanding the possibly perpetuating relationships between concurrent substance use and psychiatric symptoms is important. Understanding such relationships may aid in developing possible target areas of treatment to reduce substance use and/or related harms in this population.


Seventy-seven individuals were interviewed regarding methadone usage and current and past substance use. Current psychiatric symptoms were assessed using a modified version of the Psychiatric Diagnostic Screening Questionnaire (PDSQ). Relationships between types of substances used in the past 30 days and the types and number of psychiatric symptoms experienced in the same timeframe were examined.


The majority of participants (87.0%) reported using alcohol, illicit substances, non-prescribed prescription opioids, or non-prescribed benzodiazepines in the past 30 days and 77.9% of participants reported currently experiencing psychiatric symptoms at levels that would likely warrant diagnosis. Current non-prescribed benzodiazepine use was a predictor for increased severity (i.e., symptom count) of almost all anxiety and mood disorders assessed. Conversely, number and presence of generalized anxiety symptoms and presence of social phobia symptoms predicted current non-prescribed benzodiazepine and alcohol use, respectively.


Individuals enrolled in the present low-threshold MMT program experience a wide variety of psychiatric symptoms and continue to use a variety of substances, including opioids. There was a particularly consistent pattern of associations between non-prescribed benzodiazepine use and a variety of psychiatric symptoms (particularly anxiety) suggesting that addressing concurrent illicit benzodiazepine use and anxiety symptoms in MMT clients warrants further clinical attention and research.


Individuals enrolled in Methadone Maintenance Treatment (MMT) programs often continue to misuse substances [1, 2]. Continued use of substances while in MMT is a predictor of poorer MMT treatment outcome [e.g., [3, 4]], and represents an ongoing challenge to treatment providers [1, 5]. Another important factor related to MMT success is clients' mental health [6, 7]. While figures greatly vary, it has been estimated that between 28-76% of MMT clients have at least one co-morbid psychiatric disorder [810]. Current psychiatric co-morbidity in MMT clients is associated with poorer psychosocial [11] and medical [12] status as well as decreased quality of life [13]. Similarly, psychiatric distress/severity is generally predictive of poorer MMT outcome [1] although this finding has not always been consistent [10, 14]. Current psychiatric symptoms also appear to be associated with ongoing substance use and substance-related problems during MMT. Individuals in MMT with a co-morbid psychiatric disorder have a significantly greater number of lifetime substance use disorders [15], more severe substance use problems [11], and use more substances during MMT [10, 16].

While some studies have examined relations between psychiatric symptoms and substance use by MMT clients, most research has focused on presence/absence of any psychiatric co-morbidity (i.e., presence/absence of any psychiatric disorder, not presence/absence of specific psychiatric disorders), general level of psychiatric distress/severity, or only a limited number of disorders (e.g., depression only). Little research has focused on how different types of psychiatric symptoms may vary by types of substances used. Theory [e.g. [17]] and previous research in non-MMT substance-using samples suggest that specific forms of co-morbidity may be associated with use of specific substances. For example, individuals who fear anxiety-related sensations are more likely to use anxiolytics and to suffer from anxiety-related disorders. Conversely, individuals who tend to act impulsively are more likely to use substances such as cocaine and to suffer psychiatric symptoms in the impulsive domain [18].

The relationships of specific types of self-reported, current substance use to specific types of current psychiatric symptoms were examined in the present study. While evaluating concurrent substance use and psychiatric symptoms in the present study does not permit an analysis of which disorder came first (i.e., a determination of temporality as it may relate to causality), the present evaluation is important to understanding possible perpetuating factors that may maintain both substance use and psychiatric distress in MMT clients. For example, if illicit benzodiazepine use is associated with only one type of psychiatric symptoms (e.g., panic symptoms but not depression), tailoring interventions specific to helping clients cope with panic symptoms could potentially assist in reducing benzodiazepine use and associated overdose risks [19, 20]. Further, evaluating concurrent substance use and psychiatric symptom relationships in low-threshold MMT programs (i.e., clients are not expelled if they continue to use substances) is of particular importance given some clients in these programs may never achieve complete abstinence from all substances. Whether clients' psychiatric symptoms are the pathogenic result of substance use or reflect an independent psychiatric disorder may be relatively unimportant if the substance use never ceases. Instead, reducing harms associated with their use (e.g., overdose risk), including reducing distress (e.g., through decreasing anxiety), are important and relevant treatment goals.

In the present study, individuals enrolled in a low-threshold MMT program, who were predominantly receiving treatment for prescription opioid misuse, underwent confidential face-to-face interviews as part of a larger study examining substance use behaviours. It was predicted that current types of substance use would be related to current types of psychiatric symptoms. Specifically it was predicted that anxiety-related symptoms (e.g., symptoms of Generalized Anxiety Disorder [GAD], Post-Traumatic Stress Disorder [PTSD]) would be related to current anxiolytic (e.g., benzodiazepines, alcohol) use. Similarly, it was predicted that impulsive-type psychiatric symptoms (e.g., symptoms related to binge eating) would be related to current stimulant use (e.g., cocaine).



Seventy-seven participants recruited from a low-threshold MMT program in Halifax, Nova Scotia, Canada took part in the present study. In comparison to more traditional, or "high-threshold", MMT clinics, "low-threshold" clinics do not require clients to be abstinent from all substances in order to remain in treatment [21]. Instead a harm-reduction approach is taken whereby clients obtain privileges, such as the ability to receive their methadone at a community pharmacy, for remaining abstinent from substances. The target population of the clinic are injection drug users who have significant comorbid mental health issues, are dependent on a variety substances, are HIV-, Hepatitis B- and/or C-infected, are homeless and/or street-involved, and/or have been unsuccessful in higher-threshold or abstinence-based treatment programs. All clients enrolled in the MMT program were eligible to participate; there were no exclusion criteria. Demographic data are displayed in Table 1.

Table 1 Demographic information reported by sample participants (n = 77)


All measures were administered verbally to participants so that no participant was excluded due to low literacy. Using a semi-structured interview, participants were interviewed regarding demographics, methadone treatment (see Table 1), and current and lifetime substance use [22]. For 19 different substances (see Table 2), participants were asked whether they ever used the substance, age of first use, and number of days in the past 30 they used the substance. Participants were also asked whether they used medications from the classes of prescription opioids (excluding methadone) and benzodiazepines with and without a prescription in their lifetime and in the previous 30 days. Participants who had used any benzodiazepines or prescription opioids without a prescription in the past 30 days were defined as "any non-prescribed users". Participants who had only used benzodiazepines or prescription opioids with a prescription were defined as "only prescribed users".

Table 2 Substance use by sample participants (n = 77) attending a low-threshold MMT program

For the last 21 participants tested, the above substance use questions were administered a second time by a different interviewer the following day to determine reliability. Substantial reliability for presence of past 30 day use was obtained (Cohen's κ s = 0.82-1.00; 95.0-100.0% agreement).

To assess current psychiatric symptoms, a modified Psychiatric Diagnostic Screening Questionnaire (PDSQ [23]) was used. This measure contained 125 yes/no questions regarding experiencing symptoms of 13 DSM-IV [24] Axis I disorders in the past two weeks or past 30 days (past two weeks and past six months are used in the original version). This modification enabled the period of reported psychiatric symptoms to be within the substance use interview's assessment of use in the preceding 30 days. An individual screened positive for a disorder on the PDSQ if s/he endorsed the predetermined minimal number of symptoms for that diagnostic category (see Table 3). Screening positive for a disorder on the PDSQ suggests that an individual would be significantly more likely to qualify for a diagnosis of that disorder than someone who did not screen positive [23]. In previous studies the PDSQ has been found to have good sensitivity (90% of cases screening positive warranted a diagnosis), negative predictive values (97% of cases that did not screen positive did not warrant a diagnosis), reliable and valid (see [23] for review) - even in a sample of individuals with substance use disorders [25].

Table 3 Psychiatric symptoms of sample (n = 77) as assessed by the PDSQ

The modified and original versions of the PDSQ were administered to the last 21 participants in the present study by separate interviewers one day apart. Good reliability between the two versions in terms of the number of symptoms endorsed and number of positive screens of disorders was found (r s = .87,.81, respectively).

Questions relating to drug and alcohol dependence were excluded from analysis given the present study's objective of evaluating the relationship between substance use and symptoms of psychiatric disorders other than substance use disorders.


All clients enrolled in the MMT program were informed of their eligibility to participate in the present study. Clients were informed that all study information would be kept confidential, participation (or lack thereof) would not affect their treatment, and participation was voluntary. All interviews were conducted by personnel separate from clinic staff in a private room at the clinic. Participants gave verbal and written informed consent and were compensated $20 at the completion of the study. All sampling, procedures, and materials were reviewed and approved by the Dalhousie and Capital Health Research Ethics Boards.


In order to ensure adequate variability for statistical analyses, if at least 10% of the sample, but not more than 90%, had used a substance in the past 30 days or screened positive for a psychiatric disorder, the variable was included in further analyses examining the relationships between current substance use and psychiatric symptoms. Dichotomous variables were analyzed using chi-square (χ2) tests; two-sided Fisher's exact tests were used whenever expected counts were less than 5 to minimize chances of Type 1 error [26]. Continuous variables were analyzed using independent sample t-tests and bivariate correlations.

Because substances are often used in a polysubstance context [27], multiple regressions were conducted to evaluate whether current use of specific substance(s) was(were) better predictor(s) of the number of psychiatric symptoms endorsed for each type of disorder assessed by the PDSQ. Logistic regressions were also conducted to evaluate whether current use of specific substance(s) was(were) better predictor(s) of screening positive on the PDSQ for different types of psychiatric symptoms.

Because psychiatric symptoms also often co-occur [28], and due to the possible bidirectional relationship of psychiatric symptoms and substance use [29], logistic regressions were conducted to evaluate if the number of specific types of psychiatric symptoms were better predictors of the likelihood to be currently using different substances. Additional logistic regressions were conducted to evaluate whether screening positive for certain types of psychiatric symptoms on the PDSQ would also predict the likelihood of currently using different substances.


Substance use

The majority of participants (87.0%, n = 67/77) reported using alcohol, illicit substances, non-prescribed prescription opioids, and/or non-prescribed benzodiazepines at least once in the past 30 days (see Table 2). Participants used, on average, 2.04 (SD = 1.67) different substances, excluding tobacco, in the past 30 days; or 3.01 (SD = 1.68) different substances if tobacco is included. Prescription opioids and benzodiazepines were each counted as one substance, regardless of whether the type of medication was used with and/or without a prescription. Participants reported that all current benzodiazepine and opioid prescriptions were from doctors not affiliated with the present MMT program; prescriptions were obtained from family or emergency room doctors.

Psychiatric Symptoms

Sixty participants (77.9%, n = 60/77) screened positive for at least one psychiatric disorder on the modified PDSQ. Participants, on average, screened positive for 3.52(SD = 3.16) different psychiatric disorders (see Table 3).

Because reporting of psychiatric symptoms has been found to decrease with time enrolled in MMT in some studies [29, 30], relationships between psychiatric symptoms and current methadone treatment variables were examined. There were no significant differences in current methadone dose or duration enrolled in the current MMT program between those who did and did not screen positive for any psychiatric disorders (p s > 0.05).

Current Substance Use and Psychiatric Symptoms

Results of the multiple regression analyses of current substance use predicting the number of symptoms of different types of psychiatric disorders are displayed in Table 4. Non-prescribed benzodiazepine use significantly predicted the number of symptoms endorsed for almost all mood and anxiety symptoms assessed as well as the total number of symptoms endorsed on the PDSQ. Similar results were also obtained when logistic regressions were run with current substance use predicting the likelihood to screen positive on the PDSQ for different disorders (see Table 5). Non-prescribed benzodiazepine use significantly predicted the likelihood to screen positive for depression, PTSD, GAD, social phobia, as well as the likelihood to screen positive for at least one disorder on the PDSQ (Any disorder assessed on the PDSQ). Current alcohol use was also a significant univariate predictor for likelihood to screen positive for social phobia.

Table 4 Multiple regressions of past 30 day substance-use predicting psychiatric symptoms
Table 5 Logistic regressions of past 30 day substance use predicting screening positive for types of psychiatric symptoms

For the logistic regressions of psychiatric symptoms predicting the likelihood to use different substances, non-prescribed benzodiazepine use was significantly predicted by the number of different types of psychiatric symptoms (χ2(10) = 36.27, p < .001); number of GAD symptoms was the only univariate predictor (p = .024, OR = 1.48, 95%CI = 1.05-2.08). When screening positive for different psychiatric disorders were used as predictors in the regression analyses instead of the number of psychiatric symptoms endorsed, current non-prescribed benzodiazepine use was significantly predicted (χ2(10) = 35.24, p < .001) by screening positive for GAD (p = .033, OR = 17.52, 95%CI = 1.26-246.10) and agoraphobia (p = .040, OR = 0.07, 95%CI = 0.01-0.88). That is, screening positive for GAD was associated with an increased likelihood of currently using non-prescribed benzodiazepines while screening positive for agoraphobia was associated with a decreased likelihood of currently using non-prescribed benzodiazepines. However, the relationship of screening positive for agoraphobia and past 30 day non-prescribed benzodiazepine use was examined further for possible suppressor effects. There was no significant correlation between screening positive for agoraphobia and past 30 day non-prescribed benzodiazepine use (point biserial r = .13, p = .277) but screening positive for GAD and agoraphobia were highly correlated (point biserial r = .57, p < .001). Thus, it is likely that the relationship between agoraphobia and non-prescribed benzodiazepine use reflects a suppressor effect [31]a. Lastly, past 30 day alcohol use was found to be significantly predicted (χ2(10) = 18.97, p = .041) by screening positive for social phobia (p = .025, OR = 15.28, 95%CI = 1.40-166.56).


The present study found high rates of current use of a variety of substances as reported by clients enrolled in a low-threshold MMT program. Similar to previous studies of substance use by MMT clients [1, 2], alcohol, cannabis, cocaine, prescription opioids, and benzodiazepines were commonly-used substances; current use of hallucinogens or inhalants was rare. Consistent with previous research in higher-threshold MMT programs (e.g., [9, 10, 12]), the present study also found high rates of psychiatric symptom reporting by low-threshold MMT clients. For many clients, these reports revealed levels of psychiatric symptoms that may warrant clinical diagnosis [23].

As expected, we found support for relations between current substance use and current psychiatric symptom reporting. In particular, current non-prescribed benzodiazepine use predicted the number of psychiatric symptoms endorsed for most mood- and anxiety-related psychiatric disorders as well as predicting the likelihood of screening positive for most mood- and anxiety-related disorders assessed on the PDSQ. That is, current non-prescribed benzodiazepine use was associated with an increased number of psychiatric symptoms, and was associated with an increased likelihood of experiencing different psychiatric symptoms at levels that may warrant diagnosis. Current alcohol use (in addition to non-prescribed benzodiazepine use) was also found to be associated with an increased likelihood to screen positive for social phobia (see Table 5).

Conversely, current psychiatric symptoms were found to predict the likelihood of different types of current substance use. Number of GAD symptoms, as well as screening positive for this disorder on the PDSQ, made a unique contribution in predicting current non-prescribed benzodiazepine use. Screening positive for social phobia (but not the number of these types of symptoms) was associated with an increased likelihood of current alcohol use.

The findings that any current non-prescribed benzodiazepine use uniquely predicted number and the likelihood of experiencing psychiatric symptoms-namely anxiety and depression, and that GAD symptoms appear to be a unique predictor among psychiatric symptoms of current non-prescribed benzodiazepine use, is consistent with previous literature. While little research has indicated whether benzodiazepine use was prescribed or non-prescribed, benzodiazepine users in MMT programs have been found to have higher levels of anxiety symptoms [32, 33], suicidal ideation, more suicide attempts [34] and lower psychosocial functioning [33] than non-users.

It is possible that non-prescribed benzodiazepines are being used to self medicate distressing psychiatric symptoms such as generalized anxiety symptoms [17]. It is also possible anxiety-related withdrawal symptoms from benzodiazepines may be causing or exacerbating any existing anxiety symptoms [19, 3537]. Alternatively, these individuals could have a common underlying vulnerability to both benzodiazepine use and psychiatric symptoms [30, 38]. Regardless of the basis for the relationship, these findings, in combination with existing literature [32, 33], suggest that non-prescribed benzodiazepine use may be indicative of higher levels of psychopathology and related problems in MMT clients. Multiple systemic barriers often prevent individuals with concurrent psychiatric and substance use issues from accessing appropriate treatment (e.g., organization of services, finances [39]). Thus, further investigations and treatment development in this area are likely to be fruitful.

Of note is the finding that screening positive for agoraphobia was a significant predictor of decreased likelihood to use non-prescribed benzodiazepines and this relationship was likely indicative of a suppressor effect [31]. In this case, while screening positive for GAD may capture much of the variance in predicting non-prescribed benzodiazepine use, it is likely that screening positive for agoraphobia improves prediction of non-prescribed benzodiazepine use (despite the lack of an independent relationship with between these two variables) by accounting for avoidance related to anxiety. That is, agoraphobia may be protective of non-prescribed benzodiazepine use because individuals who often avoid anxiety-inducing situations may not feel they need to use benzodiazepines to manage their anxiety. They may be able to avoid anxiety through avoiding certain situations, whereas people with GAD symptoms may avoid anxiety through non-prescribed benzodiazepine use. Further investigations are needed to determine if this hypothesis is correct.

The finding that social phobia and alcohol use were related is also consistent with previous literature. Many studies have found high rates of comorbidity between social anxiety and alcohol problems [see [40] for review]. Alcohol use while enrolled in MMT is also associated with increased overdose risk [20]. Thus, programming to address this association could also be beneficial to decreasing mortality and other harms.

There are a number of limitations to the present study. First, the present study consisted of a relatively small sample. Thus, there could be concerns regarding reliability of the findings. However, Type II error, not Type I, is more likely with small sample sizes, and the present sample size exceeds the 5:1 (participants: predictor variable) regression guidelines, as well as those suggested by Miles and Shevlin (2001) [26]. Second, the PDSQ is weighted for emphasis on anxiety disorders. Although it assesses eating disorder symptoms, the PDSQ does not assess other disorders that theoretically would be related to stimulant use rather than benzodiazepine use (e.g., ADHD). More complex relationships between types of current psychiatric symptoms and types of current substance use may be revealed with more comprehensive psychiatric assessments. Third, the PDSQ does not assess Axis II [24] symptomatology. Personality disorders, particularly antisocial and borderline, have been found to be highly prevalent in opioid-dependent individuals (see [34] for review; prevalences can vary between 15-73% for presence of any personality disorder compared to 10% in the general population). Opioid-dependent individuals with such disorders have been found to have increased severity of depression, anxiety and substance use problems (e.g., alcohol dependence) [41]. Further investigations into the extent to which such personality pathology may be accounting for the observed psychiatric symptoms and substance use relationships are warranted. Fourth, it is possible that the positive screens on the PDSQ may be over inclusive for some disorders regarding likelihood to receive a diagnosis. It seems somewhat unlikely that almost 50% of the sample would receive a legitimate diagnosis of OCD or somatization disorder if further assessed. Instead, endorsing items such as repeated checking of locks on doors may better reflect the sometimes unstable and unsafe circumstances of participants' housing, and endorsement of somatization disorder symptoms such as "stomach and intestinal problems" may reflect side effects of MMT. Despite these possibilities, the rates of psychiatric symptoms reporting in the present study were comparable to previous research with methadone clients (e.g., [9, 10, 12]) and the PDSQ clearly measured some level of specific psychiatric symptomatology in the present study given the large effect sizes and consistency of relationships with non-prescribed benzodiazepine use. Another limitation of the present study was that substance use behavior was based on self-report. While there are some criticisms of this method [42], it has been found to produce accurate results, particularly under circumstances enhancing accurate reporting like those used in the present study [42, 43]. Because of assurances of confidentiality, participation not influencing treatment, and compensation for participation not being contingent upon reporting (or not reporting) substance use, there was no motivation to minimize or exaggerate any substance use. Indeed, when assessed, the test-retest reliability of the present study measures was excellent.

The present research has a number of implications for both further practice and research. In terms of practice, it was somewhat surprising to have found a relatively large (20.8%, n = 16/77) percentage of clients having current prescriptions for benzodiazepines and/or opioids from health professionals outside of the current MMT program. It is possible some clients' family or emergency room doctors may not be aware their clients are on methadone, and/or MMT programs may not be aware a client is obtaining benzodiazepines or opioids via other medical professionals. This suggests that access to updated health records- for both MMT programs and other physicians (e.g., through electronic health records) could be beneficial given prescription drug monitoring programs may not always flag occurrences such as those in the present study. While prescribed benzodiazepine use did not have the same associations as non-prescribed use, there is still substantial overdose risk by concurrently using benzodiazepines with methadone [20, 44]. In terms of research implications, given that there is remaining uncertainty if individuals enrolled in MMT may be using non-prescribed benzodiazepines to manage distressing mood states (such as anxiety), or if the reverse or another reason may be accounting for the observed relationships, research examining longitudinal patterns of substance use and psychiatric symptoms in MMT clients, or specific occasions of use should be conducted to further examine these competing hypotheses. The present study findings also suggest that future research and practice could focus on further developing, tailoring, and evaluating interventions to address benzodiazepine use by MMT clients. Possible therapeutic targets could include tailored interventions focusing on managing generalized anxiety symptoms and psychoeducation (e.g., [45]) regarding the biological and psychological effects (both long- and short-term) of using benzodiazepines. It is possible such interventions could help this population to reduce benzodiazepine use, its related negative effects, as well as associated psychiatric symptom severity. Similar tailored programming may also be beneficial if focused on alcohol use and social anxiety symptoms. Previous research suggests that addressing both psychiatric symptoms and substance use concurrently in treatment, in an integrated fashion, is likely to be the most favorable treatment approach [46].


Low-threshold MMT clients report high rates of both current substance use and current psychiatric symptoms. Non-prescribed benzodiazepine use appears to be a unique predictor of experiencing psychiatric symptoms- particularly various types of anxiety. Conversely, GAD symptoms appear to be a unique predictor amongst psychiatric symptoms in identifying current non-prescribed benzodiazepine use. Further investigations regarding the temporal nature of benzodiazepine use and psychiatric symptoms, as well as possible development of interventions tailored specifically to addressing this relationship, could be beneficial to our understanding of psychopathology and substance use. Further, additional research and clinical work in this area may assist in reducing the serious risk of overdose and harm posed by using substances, particularly benzodiazepines, while enrolled in MMT.


aBriefly, a classic suppressor effect occurs when the addition of a predictor to the regression results in another predictor (or group of predictors) increasing in predictive validity, even though the newly added predictor may be unrelated to the dependent variable. See [31] for further explanation.


CI :

Confidence Interval

F :

F ratio for overall regression model


Generalized Anxiety Disorder




Lysergic acid diethylamide

M :





Methadone Maintenance Treatment

n :

Number of participants in subsample


Obsessive Compulsive Disorder

OR :

Odds Ratio

p :

Probability of Type 1 error




Psychiatric Diagnostic Screening Questionnaire


Post-Traumatic Stress Disorder

r :

Correlation coefficient

R 2 :

Coefficient of determination

SD :

Standard Deviation

χ 2 :

Chi square.


  1. Darke S: The effectiveness of methadone maintenance treatment 3: Moderators of treatment outcome. Methadone Maintenance Treatment and Other Opioid Replacement Therapies. Edited by: Ward J, Mattick RP, Hall W. 1998, Amsterdam, Netherlands: Harwood Academic Publishers, 75-89.

    Google Scholar 

  2. Stitzer ML, Chutuape MA: Other substance use disorders in methadone treatment. Methadone Treatment for Opioid Dependence. Edited by: Strain EC, Stitzer ML. 1999, Baltimore, Maryland: The John Hopkins University Press, 86-117.

    Google Scholar 

  3. Magura S, Nwakeze PC, Demsky S: Pre- and in-treatment predictors of retention in methadone treatment using survival analysis. Addiction. 1998, 93: 51-60. 10.1046/j.1360-0443.1998.931516.x.

    Article  CAS  PubMed  Google Scholar 

  4. Morral AR, Belding MA, Iguchi MY: Identifying methadone maintenance clients at risk for poor treatment response: Pretreatment and early progress indicators. Drug Alcohol Depend. 1999, 55: 25-33. 10.1016/S0376-8716(98)00176-8.

    Article  CAS  PubMed  Google Scholar 

  5. Kleber HD: Methadone maintenance 4 decades later: Thousands of lives saved but still controversial. J Am Med Assoc. 2008, 300: 2303-2305. 10.1001/jama.2008.648.

    Article  CAS  Google Scholar 

  6. McLellan AT, Luborsky L, Woody GE: Predicting response to alcohol and drug abuse treatments: Role of psychiatric severity. Arch Gen Psychiatry. 1983, 40: 620-625.

    Article  CAS  PubMed  Google Scholar 

  7. McLellan AT, Childress AR, Griffith J: The psychiatrically severe drug abuse patient: Methadone maintenance or therapeutic community?. Am J Drug Alcohol Abuse. 1984, 10: 77-95. 10.3109/00952998409002657.

    Article  CAS  PubMed  Google Scholar 

  8. Astals M, Diaz L, Domingo-Salvany A: Impact of co-occurring psychiatric disorders on retention in a methadone maintenance program: An 18-month follow-up study. Int J Environ Res Public Health. 2009, 6: 2822-2832. 10.3390/ijerph6112822.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  9. Callaly T, Trauer T, Munro L: Prevalence of psychiatric disorders in a methadone maintenance population. Aust N Z J Psychiat. 2001, 35: 601-605. 10.1080/0004867010060507.

    Article  CAS  Google Scholar 

  10. Gelkopf M, Weizman T, Melamed Y: Does psychiatric comorbidity affect drug abuse treatment outcome? A prospective assessment of drug abuse, treatment tenure and infectious diseases in an Israeli methadone maintenance clinic. Isr J Psychiatr Rel. 2006, 43: 126-136.

    Google Scholar 

  11. Brooner K, King VL, Kidorf M: Psychiatric and substance use comorbidity among treatment-seeking opioid abusers. Arch Gen Psychiat. 1997, 54: 71-80.

    Article  CAS  PubMed  Google Scholar 

  12. Cacciola JS, Alterman AI, Rutherford MJ: The relationship of psychiatric comorbidity to treatment outcomes in methadone maintained patients. Drug Alcohol Depend. 2001, 61: 271-280. 10.1016/S0376-8716(00)00148-4.

    Article  CAS  PubMed  Google Scholar 

  13. Carpentier PJ, Krabbe PF, van Gogh MT: Psychiatric comorbidity reduces quality of life in chronic methadone maintained patients. Am J Addict. 2009, 18: 470-480. 10.3109/10550490903205652.

    Article  PubMed  Google Scholar 

  14. Pani PP, Trogu E, Contu P: Psychiatric severity and treatment response in a comprehensive methadone maintenance treatment program. Drug Alcohol Depend. 1997, 48: 119-126. 10.1016/S0376-8716(97)00115-4.

    Article  CAS  PubMed  Google Scholar 

  15. Strain EC, Brooner RK, Bigelow GE: Clustering of multiple substance use and psychiatric diagnoses in opioid addicts. Drug Alcohol Depend. 1991, 27: 126-134.

    Google Scholar 

  16. Batki SL, Ferrando SJ, Manfredi L: Psychiatric disorders, drug use and medical status in injection drug users with HIV disease. Am J Addict. 1996, 5: 249-258.

    Article  Google Scholar 

  17. Khantzian EJ: The self-medication hypothesis of addictive disorders: Focus on heroin and cocaine dependence. Am J Psychiat. 1985, 142: 1259-1264.

    Article  CAS  PubMed  Google Scholar 

  18. Conrod PJ, Pihl RO, Stewart SH: Validation of a system of classifying female substance abusers on the basis of personality and motivational risk factors for substance abuse. Psychol Addict Behav. 2000, 14: 243-256.

    Article  CAS  PubMed  Google Scholar 

  19. Longo LP, Johnson B: Addiction: Part 1. Benzodiazepines- Side effects, abuse risk and alternatives. Am Fam Physician. 2000, 61: 2121-2128.

    CAS  PubMed  Google Scholar 

  20. Wolff K: Characterization of methadone overdose: Clinical considerations and the scientific evidence. Ther Drug Monit. 2002, 24: 457-470. 10.1097/00007691-200208000-00001.

    Article  CAS  PubMed  Google Scholar 

  21. Royal College of Psychiatrists: Chapter 8. Treatment of Drug Misuse. Drugs: Dilemmas and Choices. 2000, Thornliebank, Glasgow, UK: Bell and Bain Limited, 147-184.

    Google Scholar 

  22. Gross SR, Barrett SP, Shetowsky JS: Ecstasy and drug consumption patterns: A Canadian rave population study. Can J Psychiat. 2002, 47: 546-551.

    Google Scholar 

  23. Zimmerman M: The Psychiatric Diagnostic Screening Questionnaire. 2002, Los Angeles, California: Western Psychological Services

    Google Scholar 

  24. American Psychiatric Association: Diagnostic and statistical manual of mental disorders. 1995, Washington, DC, Author, Fourth edition.

    Google Scholar 

  25. Zimmerman M, Sheeran T, Chelminski I: Screening for psychiatric disorders in outpatients with DSM-IV substance use disorders. J Subst Abuse Treat. 2004, 26: 181-188. 10.1016/S0740-5472(03)00207-1.

    Article  PubMed  Google Scholar 

  26. Field A: Discovering Statistics Using SPSS. 2009, London, UK: Sage Publications Limited, Third edition.

    Google Scholar 

  27. Barrett SP, Darredeau C, Pihl RO: Patterns of simultaneous polysubstance use in drug using university students. Hum Psychopharm Clin. 2006, 21: 255-263. 10.1002/hup.766.

    Article  Google Scholar 

  28. Brown TA, Barlow DH: Comorbidity among anxiety disorders: Implications for treatment and DSM-IV. J Consult Clin Psych. 1992, 60: 835-844.

    Article  CAS  Google Scholar 

  29. Conrod PJ, Stewart SH: Cognitive-behavioral treatments for comorbid substance use and psychiatric disorders: Strengths, limitations and future directions. J Cogn Psychother. 2005, 19: 261-284. 10.1891/jcop.2005.19.3.261.

    Article  Google Scholar 

  30. King VL, Brooner RK: Assessment and treatment of comorbid psychiatric disorders. Methadone Treatment for Opioid Dependence. Edited by: Strain EC, Stitzer ML. 1999, Baltimore, Maryland: The John Hopkins University Press, 141-165.

    Google Scholar 

  31. Tzelgov J, Henik A: Suppression situations in psychological research: Definitions, implications, and applications. Psych Bull. 1991, 109: 524-536.

    Article  Google Scholar 

  32. Brands B, Blake J, Marsh DC: Impact of benzodiazepine use on methadone maintenance treatment outcomes. J Addict Dis. 2008, 27: 37-48.

    Article  PubMed  Google Scholar 

  33. Darke S, Swift W, Hall W: Drug-use, HIV risk-taking behavior and psychosocial correlates of benzodiazepine use among methadone maintenance clients. Drug Alcohol Depend. 1993, 34: 67-70. 10.1016/0376-8716(93)90047-T.

    Article  Google Scholar 

  34. Ward J, Mattick RP, Hall W: Psychiatric comorbidity among the opioid dependent. Methadone Maintenance Treatment and Other Opioid Replacement Therapies. Edited by: Ward J, Mattick RP, Hall W. 1998, Amsterdam, Netherlands: Harwood Academic Publishers, 419-440.

    Google Scholar 

  35. Ciraulo DA, Ciraulo JA, Sands BF, Knapp CM, Sarid-Segal O: Sedative-hypnotics. Clinical Manual of Addiction Psychopharmacology. Edited by: Kranzler HR, Ciraulo DA. 2005, Arlington, Vermont: American Psychiatric Publishing, 111-1s62.

    Google Scholar 

  36. Posternak MA, Mueller TI: Assessing the risks and benefits of benzodiazepines for anxiety disorders in patients with a history of substances abuse or dependence. Am J Addict. 2001, 10: 48-68. 10.1080/105504901750160484.

    Article  CAS  PubMed  Google Scholar 

  37. Westra HA, Stewart SH: As-needed use of benzodiazepines in managing clinical anxiety: Incidence and implications. Curr Pharm Des. 2002, 8: 59-74. 10.2174/1381612023396744.

    Article  CAS  PubMed  Google Scholar 

  38. Martins SS, Keyes KM, Storr CL: Pathways between nonmedical opioid use/dependence and psychiatric disorders: Results from the national epidemiologic survey on alcohol and related conditions. Drug Alcohol Depend. 2009, 103: 16-24. 10.1016/j.drugalcdep.2009.01.019.

    Article  PubMed Central  PubMed  Google Scholar 

  39. Ridgely SM, Goldman HH, Willenbring M: Barriers to the care of persons with dual diagnoses: Organizational and financial issues. Schizophr Bull. 1990, 1: 123-132.

    Article  Google Scholar 

  40. Morris EP, Stewart SH, Ham LS: The relationship between social anxiety disorder and alcohol use disorders: A critical review. Clin Psychol Rev. 2005, 25: 734-760. 10.1016/j.cpr.2005.05.004.

    Article  PubMed  Google Scholar 

  41. Kosten TA, Kosten TR, Rounsaville BJ: Personality disorders in opiate addicts show prognostic specificity. J Subst Abuse Treat. 1989, 6: 163-168. 10.1016/0740-5472(89)90003-2.

    Article  CAS  PubMed  Google Scholar 

  42. Darke S: Self-report among injecting drug users: A review. Drug Alcohol Depend. 1998, 51: 252-263.

    Google Scholar 

  43. Ward J, Mattick RP, Hall W: The use of urinalysis during opioid replacement therapy. Methadone Maintenance Treatment and Other Opioid Replacement Therapies. Edited by: Ward J, Mattick RP, Hall W. 1998, Amsterdam, Netherlands: Harwood Academic Publishers, 239-264.

    Google Scholar 

  44. Caplehorn JR, Drummer OH: Fatal methadone toxicity: Signs and circumstances, and the role of benzodiazepines. Aust N Z J Pub Heal. 2002, 26: 358-363. 10.1111/j.1467-842X.2002.tb00185.x.

    Article  Google Scholar 

  45. Ahmed M, Westra HA, Stewart SH: A self-help handout for benzodiazepine discontinuation using Cognitive Behavioral Therapy. Cogn Behav Pract. 2008, 15: 317-324. 10.1016/j.cbpra.2007.05.003.

    Article  Google Scholar 

  46. Stewart SH, O'Connor RM: Treating anxiety disorders in the context of concurrent substance misuse. Treatment Resistant Anxiety Disorders. Edited by: Sookman D, Leahy R. 2010, New York, New York: Routledge, 291-323.

    Google Scholar 

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The authors would like to acknowledge those who assisted with the present study: Jessica Meisner, Cathy Hilchey, Haley Gray, Desiree MacDonald, Sergiu Mocanu, Lindsay Peters, Lyndsay Bozec, and Direction 180 staff and clientele. The authors would also like to thank the funders of this study and the authors' work: a Canadian Institutes of Health Research grant to SPB & SHS, a Canadian Institutes of Health Research Doctoral Research Award and research stipend to HGF, a Killam Doctoral Scholarship to HGF, and a Killam Research Professorship to SHS.

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Correspondence to Sean P Barrett.

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The authors declare that they have no competing interests.

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All authors have contributed significantly to this research report and have read and approved the final manuscript. HGF assisted with the planning of the study, conducted data collection, contributed to data analysis, interpretation, write-up and funding of the study. SPB and SHS assisted with planning of the study, data analysis, interpretation of results, writing of the manuscript and funding of the study. CM assisted with planning of the study, data collection, practice implications, as well as reviewed and revised the drafts of the manuscript.

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Fulton, H.G., Barrett, S.P., MacIsaac, C. et al. The relationship between self-reported substance use and psychiatric symptoms in low-threshold methadone maintenance treatment clients. Harm Reduct J 8, 18 (2011).

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