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Past-year gambling behaviour among patients receiving opioid substitution treatment

Substance Abuse Treatment, Prevention, and Policy volume 10, Article number: 4 (2015) Cite this article

Abstract

Background

Substance abuse and gambling problems are associated, however, studies on gambling problems among opioid substitution treatment (OST) patients are scarce. The aims of this study are to explore the association of gender, age, treatment medication and treatment program with gambling behaviour, including gambling participation and gambling problems, among OST patients.

Findings

All OST patients (n = 244) in three Finnish outpatient clinics were recruited in March - April 2014. The response rate was 64.3%. OST programs included two choices of orientation (rehabilitative/harm reduction) and two choices for treatment medication (methadone/buprenorphine-naloxone). Of 144 respondents, 70.1% had gambled during the past year and 12.5% were identified as potential past-year problem gamblers. Gambling was statistically significant more commonly among males (79.8%) compared with females (53.7%). Similarly patients in the rehabilitative program gambled (75.9%) more than those in the harm reduction program (50.0%). Gender, age, treatment medication or treatment program was not associated with past-year gambling problems.

Conclusions

Gambling participation of the OST patients seemed to be somewhat similar compared with the Finnish general population, but gambling problems were more common among OST patients. Gender and age may not be very strong indicators of risk while screening problem gamblers among OST patients. Institution of a problem gambling screening program is recommended, and additional intervention for gambling problems should be implemented for that need as a part of OST.

Introduction

Opioid addiction, as in other addictions, is characterized by behaviours including one or more of the following manifestations related to drug use: impaired control, compulsive use, craving and continued use regardless of harm [1]. These diagnostic manifestations resemble those of gambling disorder (GD) as categorized by the DSM-5 [1]. Both substance use disorder (SUD) and GD present a loss of control over a person’s behaviour and also have negative personal, vocational and social consequences.

The prevalence of opioid abuse worldwide is 0.4% [2] while the standardized problem gambling prevalence rate varies from 0.5% to 7.6% [3]. Among misusers, however, the prevalence of GD is considerably higher varying from 8% to 21% and even higher (17% to 27%) among patients in methadone maintenance treatment (MMT) [4, 5]. Based on both population studies and studies from the clinical context, males and people younger than 35 years gamble more and have more gambling problems than females or people 35 years or older [6–8]. Characteristically, patients with opioid dependence also have other comorbidities: typically either problems with other substances or co-occurring psychiatric disorders such as depression or anxiety and personality disorders [9–11]. Similarly, patients with GD seem to have a high rate of co-occurring SUD and psychiatric disorders [4, 12, 13].

Based on previous studies, both GD and SUD may be present as a primary addiction: GD may precede SUD or vice versa [14, 15]. However, only a few studies have addressed the issue of a concomitant GD within SUD patients such as patients within opioid substitution treatment (OST) [5, 15, 16].

In Finland, the rehabilitation oriented OST focuses on abstinence and psychosocial rehabilitation using structured treatment programs. The harm reduction approach focuses on the patient’s quality of life and consists of services promoting safer use of drugs and injection facilities, overdose prevention, social and health issues, and peer support. The harm reduction approach is used with patients who are currently not able to quit drug use. The patients are selected to the different programs according to the severity of addiction, psychiatric comorbidities and assumed capability of rehabilitation. Methadone is the choice for more severe patients, who have to attend the clinic daily. In both of the orientations, the choice of treatment medication (methadone/buprenorphine-naloxone) is based on an individual assessment and tailored to the needs of each patient [17].

In order to better treat the patients with dual diagnosis of both opioid addiction and GD, more research is needed to understand how these disorders are related and how the concomitant presence of these disorders possibly affect their treatment. The aims of this study are to explore the association of gender, age, treatment medication and treatment program with gambling behaviour, including gambling participation and gambling problems, among OST patients.

Methods

Cross–sectional data (n = 144) was based on a total sample of 224 OST patients treated between March and April 2014 at three outpatient clinics in Finland. The response rate of the study was 64.3%. The data regarding gambling behaviour were collected as a part of clinical work and used in this study with the approval of the Ethical Committee of the A-Clinic Foundation.

Past-year gambling participation was inquired using a question: “Have you gambled during the past 12 months?” with yes/no answers. Past-year gambling problems were assessed using the Brief Biosocial Gambling Screen (BBGS) [18], a three-item scale measuring neuro-adaptation, psychosocial characteristics and adverse social consequences of gambling (Table 1) with Cronbach Alpha of 0.70. In the instructions gambling was defined as follows: “Gambling means games you can play with money, for example, lotteries, Keno, slot machine games, internet gambling (e.g. internet poker) and horse trotting games.”

Table 1 The proportion of endorsed criteria for problem gambling among the patients (n = 144) treated at the outpatient clinics
Full size table

Independent variables included gender, age, orientation of the treatment program (rehabilitative/harm reduction) and the type of treatment medication (methadone/buprenorphine-naloxone).

Two formulations of sublingual tablets of buprenorphine: mono-buprenorphine (Subutex®), supplied as 0.4 mg, 2 mg and 8 mg tablets and buprenorphine-naloxone (Suboxone®), supplied as 2 mg (buprenorphine)/0.5 mg (naloxone) and 8 mg (buprenorphine)/2 mg (naloxone). Administration of the medication in the harm reduction group was supervised 5–7 times per week and in the rehabilitative group at least once a week, depending on the patient’s individual treatment plan. Treatment retention among OST patients in Finland is up to 80% after 18-month follow-up [19, 20].

The data were analysed using SPSS 21.0 software (SPSS, Inc., Chicago, IL, USA). Statistical significance (p) was determined using the Fisher’s exact test. The Odds Ratio (OR) was calculated separately for each variable.

Findings

A total of 144 patients (62.2% males) participated in this study (Table 2). The mean age for males was 36.6 (SD 7.0, range 22–55) and for females 34.7 (SD 9.0, range 22–59). The patients in the rehabilitative program were younger than the patients in the harm reduction program.

Table 2 Description of the respondents (n = 144) by the treatment program
Full size table

77.8% participated in the rehabilitative treatment program while 22.2% participated in the harm reduction program. 49.3% used methadone and 50.7% used buprenorphine-naloxone as the treatment medication (Table 2).

70.1% had gambled during the past year. Past-year gambling was more common among males (79.8%) compared with females (53.7%, p < 0.001, OR 3.40) (Table 3). Past-year gambling was more common among patients in the rehabilitative program (75.9%) compared with patients in the harm reduction program (50.0%, p = 0.008). The OR of being a gambler in the rehabilitative program was 3.15. There was no statistically significant difference in past-year gambling between the two age groups.

Table 3 Association between the correlates and past-year gambling among the patients
Full size table

Based on the BBGS, 12.5% of the respondents had scores indicating potential gambling problems (Table 1). The criteria measuring neuro-adaptation was endorsed most commonly (9.0%), while 4.9% endorsed the criteria measuring psychosocial characteristics and 5.6% endorsed adverse social consequences of gambling.

There were more males with gambling problems (14.8%) than females (11.2%) (Table 4). There were also more 35 years or older patients (13.5%) with gambling problems than younger than 35 years (11.4%). Respondents in the rehabilitative program (14.3%) had more gambling problems than those in the harm reduction program (6.2%). Gambling problems were more common among those using methadone (15.5%) than those using buprenorphine-naloxone (9.6%). 21.3% of the respondents in the rehabilitative program using methadone had gambling problems (OR 4.05), which was higher than in other treatment combinations. None of these differences were statistically significant.

Table 4 Association between the correlates and past-year gambling problems among patients treated at the outpatient clinics
Full size table

Discussion

The proportion of past-year gamblers among OST patients was at a slightly lower level than in the Finnish general population sample. However, the past-year prevalence of gambling problems among OST patients was clearly higher (12.5%) than at the population level (2.7%) [21], being in line with previous studies [5, 14, 16]. Yet, it is important to notice that previous studies assessed severity of gambling using a different instrument and time frame to this study. Weinstock and colleagues [16] used a self-report survey with the South Oaks Gambling Screen (SOGS) of both lifetime and past two months time frame. Peles and colleagues [5] used SOGS as a lifetime measure, whereas Ledgerwood and Downey [16] altered SOGS to assess the past three months severity of gambling. Time frame, in particular, is an important factor while comparing different studies, since the lifetime measure of gambling is not sensitive to current gambling problems due to false positive answers [22], whereas the past two and three months are specifically addressing the current situation. We used BBGS, which has good psychometric properties [18]. An instrument with a 12-month time frame was selected to exclude the participants in sustained remission of GD [1]. Adding another measure alongside the BBGS would be worth considering in the future.

Neuro-adaptation was the most endorsed criterion in the BBGS. This criterion refers to the behavioural manifestations of withdrawal – irritability and anxiety upon cessation of gambling. This can reflect the known similarities of SUD and GD [23, 24]. The endorsement of this particular criterion may also reflect the characteristics of this particular population, where symptoms of withdrawal may overlap another addiction.

Our results confirmed that male patients in OST gamble significantly more than female patients [5]. However, this particular gender difference was not statistically significant. Therefore, among OST patients, gender may be less associated with GD than at the population level and is not necessarily a moderator of gambling behaviour as compared to, for example, chemical addictions [7].

Patients in OST did not differ from the general Finnish population regarding participation in gambling activities [21]. Patients who were younger than 35 years gambled more often than the 35 years or older patients. However, the proportion of 35 years or older patients categorized as probable problem gamblers was higher than that of the younger ones. Even though these differences did not attain statistical significance this may reflect the characteristics of the patients in OST in general, them being somewhat over 30 years old [5], which in turn differ with the findings among the general population [21].

The patients in the rehabilitation oriented program gambled significantly more and had more gambling problems than the patients in the harm reduction program. Could the patients in the rehabilitative program, with the goal of eventually quitting all drug use, and consequently having less euphoric experience due to treatment, be chasing the euphoria by gambling? SUD and GD co-occur commonly and may manifest either on a behavioural level (for example, behavioural addiction may be fuelled by substance use) or on a syndromal level (for example, a behavioural addiction starts after SUD treatment) [24].

Understanding the similarities, as well as the interaction between GD and SUD, is important in developing treatments especially for these two addictions occurring simultaneously. It can be hypothesised that the patients attending the rehabilitative program may have an increased risk to develop a behavioural addiction (i.e. GD), as a replacement of the opioid addiction. As some studies [25–28] suggest, there may be a behavioural interaction between GD and SUD. On the other hand, it may be explained by the theory of a common liability to addiction [29]. In both GD and SUD reduced control over strong behaviour and urge for immediate rewards [30] have been identified. Conversely, the patients in the harm reduction program may have limited interest in gambling activities, as well as capabilities (e.g. economic, social and cognitive) in other activities due to the severity of their primary diagnosis.

Buprenorphine-naloxone was used more often than methadone, especially among the patients attending the rehabilitative program. Patients in a rehabilitative program with buprenorphine-naloxone had less gambling problems compared to those in a rehabilitative program with methadone. In turn, the patients receiving methadone seem to have more gambling problems. Thus, could buprenorphine-naloxone formulation Suboxone® have an effect in decreasing gambling urges [31, 32], since it contains 10% of naloxone [33]?

This study is limited by the small sample size, the limited number of background variables (e.g. socio-demographic characteristics, type of gambling, comorbid conditions) and the bivariate analysis. In addition, parallel use of other psychoactive drugs, which may be associated with problematic gambling was not recorded here, thus future studies should address this issue. However, the topic is largely unexplored. The data are unique and represent well the patients treated in the outpatient clinics. The number of patients, including the amount of females, who attended the treatment, represents around 5% of the total number of OST patients in Finland. Their background is also representative, thus not reported here. The clinics represent two different major treatment programs used in Finland [19, 20]. However, some of our results did not reach statistical significance, thus a power analysis is recommended in future studies. Gambling problems were measured using a translated and back-translated Finnish version of the BBGS [18], which has not yet been validated in the Finnish or OST context. This study mainly offers valuable suggestive information to clinical practice, includes two relevant lines of treatment approaches (those based on opioid withdrawal and those based on agonist maintenance) [34] and recommendations for further research.

Conclusions

Gambling participation of the patients in OST seems to be somewhat similar compared with the Finnish general population, but gambling problems were more common among the patients in OST. The gender and age may not be very strong indicators of risk among patients in OST. Assessment of possible gambling problems should be included in clinical practice, and additional intervention in gambling problems should be implemented for those in need as a part of OST. A comprehensive system of screening, brief intervention and treatment referral as a part of a public health approach, for example similar to SBIRT (http://www.samhsa.gov/sbirt), should also be implemented for behavioural addictions occurring alone or with substance use disorders. It has already been noted [14] that OST patients who have concomitant gambling problems may benefit from additional support.

References

  1. American Psychiatric Association: Diagnostic and Statistical manual of mental Disorders, Fith Edition. Arlington, VA: American Psychiatric Association; 2013.

    Book  Google Scholar 

  2. UNODC: World Drug Report United Nations Publication. Vienna, Austria: United Nation Office on Drug and Crime; 2013.

    Google Scholar 

  3. Williams RJ, Volberg RA, Stevens RMG Report Prepared for the Ontario Problem Gambling Research Centre & Ontario Ministry of Health and Long Term Care. The population prevalence of problem gambling: Methodological Influences, Standardized Rates, Jurisdictional differences, and Worldwide Trends 2012.

    Google Scholar 

  4. Petry NM, Stinson FS, Grant BF: Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry 2005,66(5):564–74. PubMed: 15889941 10.4088/JCP.v66n0504

    Article  PubMed  Google Scholar 

  5. Peles E, Schreiber S, Linzy S, Adelson M: Pathological gambling in Methadone Maintenance Clinics Where Gambling is Legal Versus Illegal. Am J Orthopsychiatry 2010,80(3):311–6.

    Article  PubMed  Google Scholar 

  6. Hodgins DC, Stea JN, Grant JE: Gambling disorders. Lancet 2011, 378:1874–84. 10.1016/S0140-6736(10)62185-X

    Article  PubMed  Google Scholar 

  7. Shaffer HJ, Martin R: Disordered gambling: etiology, trajectory, and clinical considerations. Annu Rev Clin Psychol 2011, 7:483–510. 10.1146/annurev-clinpsy-040510-143928

    Article  PubMed  Google Scholar 

  8. Castrén S, Basnet S, Salonen AH, Pankakoski M, Ronkainen J-E, Alho H, Lahti T: Factors associated with disordered gambling in Finland. Subst Abuse Treat Prev Pol 2013, 8:24. 10.1186/1747-597X-8-24

    Article  Google Scholar 

  9. Carpentier PJ, Knapen LJM, van Gogh MT, Buitelaar JK, De Jong CAJ: Addiction in developmental perspective: Influence of conduct disorder severity, subtype, and attention-deficit hyperactivity disorder on problem severity with opioid dependence. J Addict Dis 2012, 31:45–59. doi:10.1080/10550887.2011.642756 10.1080/10550887.2011.642756

    Article  PubMed  Google Scholar 

  10. Lieb M, Wittchen H-U, Palm U, Apelt SM, Siegert J, Soyka M: Psychiatric comorbidity in substitution treatment of opioid-dependent patients in primary care: Prevalence and impact of clinical features. Heroin Addiction and Related Clinical Problems 2010, 12:5–16.

    Google Scholar 

  11. Strain EC: Assessment and treatment of comorbid psychiatric disorders in opioid-dependent patients. Clin J Pain 2002, 18:14–27. doi:10.1097/00002508–200207001–00003 10.1097/00002508-200201000-00003

    Article  Google Scholar 

  12. Lorains F, Colishaw S, Thomas SA: Prevalence of comorbid disorders in problem and pathological gambling: systematic reveiew and meta-analysis of population surveys. Addiction 2011, 106:490–8. 10.1111/j.1360-0443.2010.03300.x

    Article  PubMed  Google Scholar 

  13. Cunningham-Williams RM, Cottler LB, Compton WM, Spitznagel EL, Ben-Addallah A: Problem Gambling and Comorbid Psychiatric and Substance Use Disorders Among Drug Users Recruited from Drug Treatment and Community Settings. J Gambl Stud 2000,16(4):347–75. 10.1023/A:1009428122460

    Article  CAS  PubMed  Google Scholar 

  14. Weinstock J, Blanco C, Petry NM: Health Correlates of Pathological Gambling in a Methadone Maintenance Clinic. Exp Clin Psychopharmacol 2006,14(1):87–93.

    Article  PubMed  Google Scholar 

  15. Kauch O: Patterns of substance abuse among treatment-seeking pathological gamblers. J Subst Abuse Treat 2003, 25:263–70. 10.1016/S0740-5472(03)00117-X

    Article  Google Scholar 

  16. Ledgerwood DM, Downey KK: Relationship between problem gambling and substance use in a methadone maintenance population. Addict Behav 2002, 27:483–91. 10.1016/S0306-4603(01)00187-3

    Article  PubMed  Google Scholar 

  17. Simojoki K Academic dissertation, University of Helsinki. Improving maintenance treatment of opiate addiction: Clinical aspects 2013.

    Google Scholar 

  18. Gebauer L, LaBrie R, Shaffer HJ: Optimizing DSM-IV_TR Classification Accuracy: A Brief Biosocial Screen for Detecting Current Gambling Disorders Among Gamblers in the General Household Population. Can J Psychiatry 2010,55(2):82–90.

    PubMed  Google Scholar 

  19. Vorma H, Sokero P, Turtiainen S, Katila H: Opioidiriippuvuuden korvaushoito HYKS:n päihdepsykiatrian yksikössä 2003–2005. [Opioid substitution treatment in HUCH Psychiatric Unit for Drug Dependence in 2003–2005]. Suom Laakaril 2009,64(2):1853–7.

    Google Scholar 

  20. Aalto M, Visapää J-P, Halme J, Fabritius C, Salaspuro M: Effectiveness of buprenorphine maintenance treatment as compared to a syringe exchange program among buprenorphine mis-using opioid-dependent patients. Nord J Psychiatry 2010,65(3):238–43.

    PubMed  Google Scholar 

  21. Turja T, Halme J, Mervola M, Jarvinen-Tassopoulous J, Ronkainen J-E: Suomalaisten rahapelaaminen 2011 [Finnish Gambling 2011]. Helsinki: National Institute for Health and Welfare (THL); 2012. Report 14

    Google Scholar 

  22. PGRTC, Problem Gambling Research and Treatment centre: Guideline for screening, assessment and treatment in problem gambling. Clayton: Monash University 2011. Productivity Commission. Gambling. Final report. Australia, Canberra. 2010.

    Google Scholar 

  23. El-Guebaly N, Mudry T, Zohar J, Tavares H, Potenza MN: Compulsive features in behavioural addictions: the case of pathological gambling. Addiction 2011, 107:1726–34.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Grant JE, Potenza MN, Weinstein A, Gorelick DA: Introduction to Behavioral Addiction. Am J Drug Alcohol Abuse 2010,36(5):233–41. doi:10.3109/00952990.2010.491884 10.3109/00952990.2010.491884

    Article  PubMed Central  PubMed  Google Scholar 

  25. Stinchfield R, Kushner MG, Winters KC: Alcohol use and prior substance abuse treatment in relation to gambling problem severity and gambling treatment outcome. J Gambl Stud 2005, 21:273–97. 10.1007/s10899-005-3100-1

    Article  PubMed  Google Scholar 

  26. Duhig AM, Maciejewski PK, Desai RA, Krishnan-Sarin S, Potenza MN: Characteristics of adolescent past year gamblers and non-gamblers in relation to alcohol drinking. Addict Behav 2007, 32:80–9. 10.1016/j.addbeh.2006.03.021

    Article  PubMed  Google Scholar 

  27. Potenza MN, Steinberg MA, Mc Laughlin SD, Wu R, Rousaville BJ, Krishnan-Sarin S, Gerge TP, O’Malley SS: Characteristics of tobacco-smoking problem gamblers calling help-line. Am J Addict 2004, 13:471–93. 10.1080/10550490490483044

    Article  PubMed  Google Scholar 

  28. Peles E, Schreiber S, Adelson M: Pathological Gambling and Obsessive Compulsive Disorder Among Methadone Maintenance Treatment Patients. J Addict Dis 2009,28(3):199–207. 10.1080/10550880903014106

    Article  PubMed  Google Scholar 

  29. Vanyukov MM, Tarter RE, Kirillova GP, Kirisci L, Reynolds MD, Kreek MJ, Conway KP, Maher BS, Iacano WG, Bierut L, Neale MC, Clark DB, Ridenour TA: Common liability to addiction and “gateway hypothesis”: Theorethical, empirical and evolutionary perspective. Drug Alcohol Depend 2012, 123:5–17.

    Google Scholar 

  30. Grant JE, Chamberlain SR: Impulsive action and impulsive choice across substance and behavioural addictions: Cause or consequence? Addict Behav 2014, 39:1632–9. 10.1016/j.addbeh.2014.04.022

    Article  PubMed  Google Scholar 

  31. Kim SW, Grant JE, Adson DE, Shin YC: Double-blind naltrexone and placebo comparison study in the treatment of pathological gambling. Biol Psychiatry 2001, 49:914–21. 10.1016/S0006-3223(01)01079-4

    Article  CAS  PubMed  Google Scholar 

  32. Grant JE, Potenza MN, Hollander C, Cunningham-Williams R, Nurminen T, Smits G, et al.: Multicenter investigation of the opioid antagonist nalmefene in the treatment of pathological gambling. Am J Psychiatry 2006, 163:303–12. 10.1176/appi.ajp.163.2.303

    Article  PubMed  Google Scholar 

  33. Ma Y, Zaller ND, Green TC, Rich JD: Buprenorphine and Buprenorphine/Naloxone Diversion, Misuse, and Illicit Use: An International Review. Curr Drug Abuse Rev 2001,4(1):28–41.

    Google Scholar 

  34. WHO: Guidelines for the psychosocially Assisted Pharmacological Treatment of Opioid Dependence. Geneva: World Health Organisation Press; 2009.

    Google Scholar 

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Acknowledgements

The authors thank data analyst Marjut Grainger for keying in the data and language consultant Matthew Grainger for his linguistic assistance and statistician Maiju Pankakoski for the statistical pointers. For the data collection we thank the personnel of three A-Clinic Foundation’s clinics.

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Authors and Affiliations

  1. Department of Tobacco, Gambling and Addiction, National Institute for Health and Welfare, P.O. Box 30, FIN-00271, Helsinki, Finland

    Sari Castrén, Anne H Salonen, Hannu Alho & Tuuli Lahti

  2. Internal Medicine, University of Helsinki, Helsinki, Finland

    Sari Castrén, Anne H Salonen, Hannu Alho & Kaarlo Simojoki

  3. Faculty of Social Sciences, Department of Behavioural Sciences and Philosophy, University of Turku, Turku, Finland

    Tuuli Lahti

  4. A-clinic Foundation, Maistraatinportti 2, 00240, Helsinki, Finland

    Kaarlo Simojoki

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Correspondence to Kaarlo Simojoki.

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The authors declare that they have no competing interests.

Authors’ contributions

SC, AHS and KS planned the study design, AHS analysed the data, SC, AHS and KS drafted the manuscript, SC, AHS, KS, TL and HA critically revised the manuscript and read and approved the final version of the manuscript. All authors read and approved the final manuscript.

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Castrén, S., Salonen, A.H., Alho, H. et al. Past-year gambling behaviour among patients receiving opioid substitution treatment. Subst Abuse Treat Prev Policy 10, 4 (2015). https://doi.org/10.1186/1747-597X-10-4

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Substance Abuse Treatment, Prevention, and Policy

ISSN: 1747-597X