Literature DB >> 31069032

Factors Associated with Sustained Remission among Chronic Opioid Users.

Ramin Shiraly1, Maryam Taghva2.   

Abstract

BACKGROUND: Chronic opioid use is a major public health problem with significant morbidity. The aim of this study was to investigate factors associated with sustained remission among a sample of Iranian chronic opioid users in Shiraz, Iran.
METHODS: This was a cross-sectional study to evaluate sustained remission among chronic opiate users aged 20-60 years. Participants included two groups: 365 people who have been in sustained remission for the past year, and 187 persons who did not achieve remission for the past one year. Then, demographic and factors related to drug use pattern and previous treatments were compared between two groups. Pearson chi-square test was used for univariate analysis and backward stepwise logistic regression was used to estimate adjusted odds ratios (AORs).
FINDINGS: Our findings showed that sustained remission was associated with Narcotic Anonymous (NA) participation [AOR = 3.28, 95% confidence interval (CI): 2.19-4.89, P < 0.001], male gender (AOR = 2.53, 95% CI: 1.45-4.43, P = 0.001), younger age of onset (AOR = 1.63, 95% CI: 1.03-2.58, P = 0.037), higher total years of opioid use (AOR = 2.13, 95% CI: 1.42-3.19, P < 0.001), no history of imprisonment (AOR = 2.11, 95% CI: 1.16-3.85, P = 0.015), and family support (AOR = 2.58, 95% CI: 1.33-5.01, P = 0.005).
CONCLUSION: Participation in self-help groups can be a suitable alternative in predicting sustained remission among chronic opiate users. Chronic opioid users should be encouraged by the physicians who are involved in the treatment of drug addiction to participate in NA programs.

Entities:  

Keywords:  Drug addiction; Opiate substitution treatment; Opioids; Substance use disorders

Year:  2018        PMID: 31069032      PMCID: PMC6494988          DOI: 10.22122/ahj.v10i2.569

Source DB:  PubMed          Journal:  Addict Health        ISSN: 2008-4633


Introduction

Chronic opioid use is a major public health problem with significant morbidity that affects more than 21 million people worldwide.1,2 The natural course of chronic opioid use includes opioid dependency, repeated attempts to stop substance use, and frequent relapse.3 Opioids are the most commonly used drugs in Iran with the highest rate of opiate use in the world.4,5 In addition to opium, which is traditionally the main drug of abuse in Iran, there has been an increase in the use of heroin among Iranian opiate users within the last decades,6,7 and more than 80% of drug abuse treatment cases were related to opiate addicts who were seeking treatment.4 Abrupt cessation of opioids without any treatment is less likely and a substantial number of chronic addicts resort to therapeutic modalities. Findings from prospective studies indicate that participation in formal and prolonged treatment is generally associated with better outcomes.8,9 A variety of treatment methods are used by chronic opioid users to control their addiction, often with a multiple stop-and-start pattern.10 Harm reduction and abstinence-oriented policies are the two strategies to control opioid use disorder (OUD). Many opioid addicts experience single or combined treatment methods to overcome their addiction; hence, the efficacy of a single method cannot be measured accurately.8 The most common pharmacological methods for treatment of opioid addiction are detoxification and maintenance therapy with drugs such as opioid agonists and antagonists, and alpha-2-adrenergic agonists. Agonist maintenance therapy is one of the most common types of treatment because of the better outcomes attained in comparison with other drug therapies.11 Moreover, participation in 12-step or Narcotic Anonymous (NA) groups is another common method used by opioid addicts to control opioid use.12 Although drug addiction is defined as a chronic relapsing disease, which has periods of exacerbation and remission,13,14 duration of remissions is an important factor for predicting future physical and mental health of patients. The longer the periods of remission, the better would be the physical, psychological, and social function and ultimate prognosis.15 Factors associated with remission from alcohol dependence have been extensively studied, but few studies have investigated factors associated with sustained remission from other substances including opiates.16,17 Follow up of patients after outpatient treatment programs indicates that better outcomes are associated with older age, lower severity of addiction, less psychiatric comorbidity, longer duration of treatments, and participation in 12-step programs.18,19 In addition, gender, race/ethnicity, educational attainment, income, marital status, comorbid substance use disorders (SUDs), and drug treatment utilization have been associated with sustained remission.20,21 In the present study, we compared two groups of opiate addicts: chronic opioid users who maintained remission and those who did not achieve remission for the past one year.

Methods

This cross-sectional study with a control group was carried out between June to August 2017 in Shiraz, Iran. Study population included people aged 20-60 years with a history of at least two years of continuous use of opium or heroin, and involvement in at least one formal treatment program to stop their addiction. All of the participants stated opium or heroin as their primary drug of choice. Pure users of cannabis, methamphetamines, and prescription opioids such as tramadol or methadone were excluded from the study. According to The Diagnostic and Statistical Manual of Mental Disorders-5th Edition (DSM-5) criteria for SUDs, sustained remission is defined as ≥ 12 months without meeting SUD criteria, except craving.22 Considering the cross-sectional design of this study, we considered sustained remission as not meeting the DSM-5 criteria at the time of the study and no self-reported relapse during the last year. We used outpatient clinics and self-help groups sessions as settings to access chronic opioid users who were seeking treatment modalities. The sample size was calculated by assuming alpha = 0.05, a population proportion of 50%, and a precision of 0.05, and was estimated as at least 384 patients. There are 60 outpatient addiction treatment clinics and 13 NA self-help groups in the inner city of Shiraz which were numbered and then fifteen outpatient addiction treatment clinics and six NA self-help groups were selected by simple random sampling. Following a screening interview to determine eligibility for the study with more than 1500 patients of selected centers and groups, 552 people were identified as eligible. Data collection was performed by a team including a physician who checked the eligibility of participants. Eligibility was based on patients’ self-report. Participants included two groups: 365 people who have been in sustained remission for the past year, and 187 persons who met SUD criteria and had at least one substance use relapse during the past year. A written informed consent was obtained after the study was explained to all the participants. The study received ethical approval from the local Ethics Committee of Shiraz University of Medical Sciences (code: IR.SUMS.MED.REC.1395.08). The research instrument was an interviewer-administered structured questionnaire that contained demographic characteristics (age, gender, marital status, educational level, and job) and substance-related questions including age of the onset, primary drug of use, total years of opioid use, history of injection drug use (IDU), opioid use among first degree relatives, number and type of treatment programs (including agonist therapy and participation in self-help groups) and also history of imprisonment. Data were analyzed with the use of SPSS software (version 19, SPSS Inc., Chicago, IL, USA). Comparisons were made by means of independent t-test for continuous variables and chi-square test for categorical variables. For univariate analysis, continuous variables were dichotomized at median values. Subsequently, multivariate logistic regression with backward elimination of variables was performed. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated. Significance level of 0.05 was considered to be statistically significant.

Results

Study participants were opiate users residing in Shiraz City, with at least two years of regular opiate use. The majority of participants were male (87.0%), married (59.6%), had less than 12 years of education (76.8%), employed (65.0%), started opiate use after age of 20 (71.6%), used opiates for more than 5 years (65.9%), and reported opium as their primary drug of use (69.4%). Some participants reported history of IDU (21.2%) and opiate use among first-degree relatives (39.3%). More than one third of participants (37.9%) had tried five times or more episodes of treatment. The most commonly used treatment program was opioid agonist therapy (OAT) (71.9%). There was also a significant proportion of patients (66.5%) who had participated in self-help groups. Characteristics of study subjects are summarized in table 1. The mean age of those with sustained remission was 42.12 ± 8.48 and of those without it was 41.23 ± 8.02 (P = 0.441).
Table 1

Univariate analysis of factors associated with sustained remission among chronic opiate users, Shiraz, Iran

VariableTotal (n = 552)
Not in remission (n = 187)
In sustained remission (n = 365)
OR (95% CI)P
n (%)n (%)n (%)
Age (year)
 20-39374 (67.75)130 (69.50)244 (66.80)1.13 (0.77-1.65)0.564
 40-60178 (32.25)57 (30.50)121 (33.20)1
Sex
 Male480 (86.95)146 (78.10)334 (91.50)3.03 (1.83-5.02) < 0.001
 Female72 (13.05)41 (21.90)31 (8.50)1
Marital status
 Married329 (59.60)105 (56.10)224 (61.40)1.24 (0.87-1.77) 0.271
 Single/divorced/widowed223 (40.40)82 (43.90)141 (38.60)1
Age of onset of opioid use (year)
 < 20 157 (28.44)36 (19.30)121 (33.20)2.08 (1.36-3.18) 0.001
 ≥ 20 395 (71.56)151 (80.70)244 (66.80)1
Family support
 Yes83 (15.03)13 (7.00)70 (19.20)3.18 (1.71-5.91) < 0.001
 No469 (84.97)174 (93.00)295 (80.80)1
Education (years of schooling)
 ≥ 12128 (23.19)42 (22.50)86 (23.60)1.06 (0.69-1.62) 0.832
 < 12424 (76.81)145 (77.50)279 (76.40)1
Having a job
 Yes359 (65.03)122 (65.20)237 (64.90)0.97 (0.68-1.43)0.510
 No193 (34.97)65 (34.80)128 (35.10)1
Primary drug of use
 Opium383 (69.38)137 (73.30)246 (67.40)1.33 (0.89-1.96) 0.172
 Heroin169 (30.62)50 (26.70)119 (32.60)1
Opioid use in first degree relatives
 Yes217 (39.31)63 (33.70)154 (42.20)0.69 (0.48-1.01) 0.054
 No335 (60.69)124 (66.30)211 (57.80)1
Total years of opioid use
 > 5364 (65.94)95 (50.80)269 (73.70)2.72 (1.88-3.93) < 0.001
 2-5188 (34.06)92 (49.20)96 (26.30)1
History of IDU
 Yes117 (21.20)33 (17.60)84 (23.00)0.72 (0.46-1.12) 0.154
 No435 (78.80)154 (82.40)281 (77.00)1
History of imprisonment
 No490 (88.77)158 (84.50)332 (91.00)1.85 (1.08-3.15) 0.032
 Yes62 (11.23)29 (15.90)33 (9.00)1
NA participation
 Yes367 (66.49)84 (44.90)283 (77.50)4.23 (2.89-6.18) < 0.001
 No185 (33.51)103 (55.10)82 (22.50)1
History of agonist therapy
 Yes397 (71.92)148 (79.10)249 (68.20)0.57 (0.37-0.86) 0.007
 No155 (28.08)39 (20.90)116 (31.80)1
Treatment episodes
 1-4 times343 (62.14)117 (62.60)226 (61.90)1.03 (0.71-1.48) 0.926
 ≥ 5 times209 (37.86)70 (37.40)139 (38.10)1

OR: Odds ratio; CI: Confidence interval; IDU: Injection drug use; NA: Narcotic anonymous

Those patients who did not achieve sustained remission were more likely to be female patients, with 2-5 years of opioid use and history of imprisonment, and they had commonly used OAT. Those with sustained remission had lower age of onset and positive family support, and had more commonly participated in NA programs. According to univariate analysis, sustained remission was predicted by male gender (OR: 3.03, CI: 1.83-5.02, P < 0.001), age of onset of opioid use before 20 years (OR: 2.08, CI: 1.36-3.18, P = 0.001), more than 5 years history of opioid use (OR: 2.72, CI: 1.88-3.93, P < 0.001), family support (OR: 3.18, CI: 1.71-5.91, P < 0.001), no history of imprisonment (OR: 1.85, CI: 1.08-3.15, P = 0.032), and participation in self-help groups (OR: 4.23, CI: 2.89-6.18, P < 0.001). It was inversely related to a history of agonist therapy (OR: 0.57, CI: 0.37-0.86, P = 0.007). Sustained remission was not associated with age (P = 0.564), marital status (P = 0.271), education (P = 0.832), job status (P = 0.510), primary drug of use (P = 0.172), history of IDU (P = 0.154), and number of treatment episodes (P = 0.926) (Table 1). The results of multivariate regression analysis have been shown in table 2. The model explained approximately 26% of the observed variance (pseudo-R2 = 0.257), and the overall accuracy of the model to predict sustained remission was 66.1%. According to the model, sustained remission was associated with NA participation (AOR = 3.28, 95% CI: 2.19-4.89, P < 0.001), male gender (AOR = 2.53, 95% CI: 1.45-4.43, P = 0.001), younger age of onset (AOR = 1.63, 95% CI: 1.03-2.58, P = 0.037), more total years of opioid use (AOR = 2.13, 95% CI: 1.42-3.19, P < 0.001), no history of imprisonment (AOR = 2.11, 95% CI: 1.16-3.85, P = 0.015), and family support (AOR = 2.58, 95% CI: 1.33-5.01, P = 0.005). The model showed that being a female and having a history of imprisonment were inversely related to sustained remission (Table 2).
Table 2

Multivariate analysis of factors associated with sustained remission among Iranian chronic opiate addicts, Shiraz, Iran

VariableBSEWalddfAOR (95% CI)P
NA participation
 Yes1.1880.20433.77913.28 (2.19-4.89)< 0.001
 No 1
History of imprisonment
 No0.7460.3075.89412.11 (1.16-3.85)0.015
 Yes 1
Primary drug of use
 Opium0.2260.2280.98611.25 (0.80-1.96)0.321
 Heroin 1
Sex
 Male0.9300.28510.65512.53 (1.45-4.43)0.001
 Female 1
Age of onset of opioid use (year)
 < 20 0.4890.2354.33811.63 (1.03-2.58)0.037
 ≥ 20 1
Family support
 Yes0.9470.3397.80912.58 (1.33-5.01)0.005
 No 1
Total years of opioid use
 > 50.7560.20713.33812.13 (1.42-3.19)< 0.001
 2-5 1
History of agonist therapy
 Yes-0.2331.34210.72 (0.46-1.13)0.155
 No0.331 1

AOR: Adjusted odds ratio; CI: Confidence interval; SE: Standard error; df: Degree of freedom; NA: Narcotic anonymous

Discussion

Our findings showed that male opioid addicts were more likely to achieve sustained remission and to stay sober compared to female patients. There was a significant gender difference in prevalence rates, health service use, treatment outcome, and physiological consequences of SUDs. Evidence suggests that female addicts suffer more severe emotional and physical consequences in comparison to men. They usually face numerous barriers including limited access to treatment, stigma, and fear of legal problems.23,24 These factors may affect the frequency and duration of remissions. Another finding of the present study showed that people with earlier age of onset and higher total years of opiate use were more likely to report sustained remission. This finding is in contrast to previous reports which had implied that early age of onset was associated with a higher prevalence of dependency, increased clinical severity, and worsened consequences.25,26 However, at the same time, some reports were in line with our findings. For example, in a cohort study on people with different drug addictions, duration of remission was significantly higher in those with age of onset of below 21 years. Moreover, according to this study on heroin addicts, substance cessation attempts 10-20 years after first drug use were more successful.16 In studies of community and treatment populations, about 60 percent of patients with a SUD eventually achieved sustained recovery at some time in their lives.27 Whether this is due to experience obtained by repeated cessation attempts or a blunted dopaminergic system is questionable. It has been suggested that chronic drug use might down-regulate dopamine receptors and production in the brain reward system that might help patients to reduce or stop substance use.28 Social support from family has been consistently found to predict positive outcomes among drug addicts.9,29 The results of our study also supported the association of family support with sustained remission among opioid addicts. It seems that emotional and economic burden and relationship distresses and conflicts can be relieved by a supporting family. A substantial proportion of people with OUDs experiences imprisonment. A history of imprisonment is associated with an ongoing elevated risk of negative outcomes. Almost 75% of prisoners with OUD do not maintain remission 3 months after release from jail.30,31 In the present study, lack of history of imprisonment was found to be predictive for sustained remission. A notable finding of this study was that participation in self-help groups was a significant predictor of sustained remission among chronic opiate users. Some other studies have similarly shown that self-help group participation promoted sustained remission among different drug users.10 As an abstinence-based method of addiction treatment, 12-step program helps opioid addicts to stay clean through spiritual practices.32 Although this treatment method also follows a multiple stop-and-start pattern,10 the present study showed that those with a history of participation in self-help groups were more likely to stay in sustained remission. In some treatment programs, NA meetings are used as a complementary treatment, which has shown to enhance maintenance of the relapse-free state.33 It seems that participation in 12-step programs promotes positive psycho-emotional changes that help opioid addicts to stay in remission for longer periods of time. The present findings suggest that OAT, despite its considerable benefits, is not significantly associated with sustained remission. Maintenance treatment with methadone reduces injecting practice, crime, risk of blood borne viral infections, and drug overdose, and improves social function.34-36 At the same time, relapses are common with this modality, and according to a prospective study, just 27% of opiate addicts under methadone therapy had 4 months or longer periods of remission.16 As a substitute method, agonist therapy is an appropriate tool for controlling opioid addiction as far as the substitute drug is used, but it does not seem to significantly affect the rate of sustained remission. Most chronic addicts, who achieve sustained recovery, do so after at least one episode of formal treatment.27 Our findings showed that there was no association between the number of previous treatment episodes and the experience of sustained remission. A longitudinal study on 1326 patients for 9 years showed a negative association between number of treatment episodes and sustained remission. In the aforementioned study, after the initial 6 months of treatment, the likelihood of sustained remission decreased as the number of subsequent treatment episodes increased.15 Maybe the quality and type of treatments and use of complementary methods like 12-step programs, as our findings showed, are more important determinants of sustained remission. There are some limitations to our study. First, this was a cross-sectional study based on participants’ self-report. The validity of self-reported data cannot be established and the collected information is subject to bias. Second, we did not assess factors such as mental distress and duration of retention in treatments. Third, we considered drug addicts who were seeking treatments; therefore, the enrolled population might not be representing all chronic opiate addicts.

Conclusion

According to our findings, participation in self-help groups can be a suitable alternative in predicting sustained remission among chronic opiate users. Moreover, male chronic opiate addicts with earlier age of onset of drug use and longer history of opioid use are more likely to report sustained remission. Chronic opioid users should be encouraged by the physicians who are involved in the treatment of drug addiction to participate in NA programs.
  36 in total

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Authors:  Alexandre B Laudet; Robert Savage; Daneyal Mahmood
Journal:  J Psychoactive Drugs       Date:  2002 Jul-Sep

2.  Association between concurrent depression and anxiety and six-month outcome of addiction treatment.

Authors:  Dara A Charney; Jorge Palacios-Boix; Juan C Negrete; Patricia L Dobkin; Kathryn J Gill
Journal:  Psychiatr Serv       Date:  2005-08       Impact factor: 3.084

3.  Relapse to drug seeking following prolonged abstinence: the role of environmental stimuli.

Authors:  R A Fuchs; H C Lasseter; D R Ramirez; X Xie
Journal:  Drug Discov Today Dis Models       Date:  2008

Review 4.  Opioid dependence treatment: options in pharmacotherapy.

Authors:  Angela L Stotts; Carrie L Dodrill; Thomas R Kosten
Journal:  Expert Opin Pharmacother       Date:  2009-08       Impact factor: 3.889

Review 5.  Forced abstinence model of relapse to study pharmacological treatments of substance use disorder.

Authors:  Carmela M Reichel; Rick A Bevins
Journal:  Curr Drug Abuse Rev       Date:  2009-05

6.  Individual and social factors associated with participation in treatment programs for drug users.

Authors:  V Anna Gyarmathy; Carl A Latkin
Journal:  Subst Use Misuse       Date:  2008       Impact factor: 2.164

7.  Is it important to prevent early exposure to drugs and alcohol among adolescents?

Authors:  Candice L Odgers; Avshalom Caspi; Daniel S Nagin; Alex R Piquero; Wendy S Slutske; Barry J Milne; Nigel Dickson; Richie Poulton; Terrie E Moffitt
Journal:  Psychol Sci       Date:  2008-10

8.  High effectiveness of self-help programs after drug addiction therapy.

Authors:  John-Kåre Vederhus; Øistein Kristensen
Journal:  BMC Psychiatry       Date:  2006-08-23       Impact factor: 3.630

9.  Managing addiction as a chronic condition.

Authors:  Michael Dennis; Christy K Scott
Journal:  Addict Sci Clin Pract       Date:  2007-12

Review 10.  The neurobiology of opioid dependence: implications for treatment.

Authors:  Thomas R Kosten; Tony P George
Journal:  Sci Pract Perspect       Date:  2002-07
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  2 in total

1.  The impact of self-help groups on successful substance use treatment completion for opioid use: An intersectional analysis of race/ethnicity and sex.

Authors:  Madeline R Stenersen; Kathryn Thomas; Cara Struble; Kelly E Moore; Catherine Burke; Sherry McKee
Journal:  J Subst Abuse Treat       Date:  2021-11-20

2.  Identifying factors associated with opioid cessation in a biracial sample using machine learning.

Authors:  Jiayi W Cox; Richard M Sherva; Kathryn L Lunetta; Richard Saitz; Mark Kon; Henry R Kranzler; Joel Gelernter; Lindsay A Farrer
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