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Published in final edited form as: Subst Use Misuse. 2018 Jan 29;53(10):1674–1680. doi: 10.1080/10826084.2018.1424913

Family Related Factors and Concurrent Heroin Use in Methadone Maintenance Treatment in China

Nan Feng a, Chunqing Lin a, Julie Hsieh a, Keming Rou b, Li Li a
PMCID: PMC6287767  NIHMSID: NIHMS1514757  PMID: 29377736

Abstract

Background:

The use of heroin during Methadone Maintenance Treatment (MMT) is a challenging problem that contributes to poor treatment outcomes. Families may play an important role in addressing concurrent heroin use during MMT, especially in collectivist societies such as China.

Objectives:

In this study, we explored the relationship between family-related factors and concurrent heroin use during MMT in China.

Methods:

This study was conducted at 68 MMT clinics in five provinces of China. There were 2,446 MMT clients in the analysis. Demographic information, MMT dosage, family members’ heroin use status, family support of MMT, family problem and self-reported heroin use were collected in a cross-sectional survey. The most recent urinalysis of opiate use was obtained from clinical records.

Results:

Of the 2,446 participants, 533 (21.79%) self-reported heroin use in the previous seven days or had a positive urine morphine test result in the clinic record. Participants whose family member[s] used heroin were 1.59 times (95% CI: 1.17-, 2.15) more likely to use concurrently during treatment. Those with family members who totally support them on the MMT were less likely to use (AOR: 0.75, 95% CI: 0.60, 0.94). Having more family problems was positively associated with concurrent heroin use (AOR: 2.01, 95% CI: 1.03, 3.93).

Conclusions:

The results highlight the importance of the family’s role in concurrent heroin use during MMT programs. The study’s findings may have implications for family-based interventions that address concurrent heroin use.

Keywords: Family, Heroin use, Methadone Maintenance Treatment, China

Introduction

Methadone Maintenance Treatment (MMT) is widely accepted as effective in reducing opioid use and its related HIV transmission (Beyrer et al., 2010; Dole & Joseph, 1978; Haig, 2003; Zou, Ling, & Zhang, 2015). However, the benefits of treatment can be negatively affected by various factors. One of the many such challenges is concurrent heroin use while undergoing treatments, as reported in several studies (Joseph, Stancliff, & Langrod, 2000; Lin, Wu, & Detels, 2011; Li, Lin, Wan, Zhang, & Lai, 2012; Mattick et al., 2003). Concurrent heroin use has a significant impact on adherence to methadone maintenance treatment (Raffa et al., 2007) and can contribute to poor treatment outcomes (Magura, Nwakeze, & Demsky, 1998; Rowan-Szal, Chatham, & Simpson, 2000; Sofuoglu, Gonzalez, Poling, & Kosten, 2003). Clinically, a higher methadone dose is associated with less concurrent heroin use, a higher retention rate and fewer illicit drug-seeking behaviors (Caplehorn, Bell, Kleinbaum, & Gebski, 1993; Farré, Mas, Torrens, Moreno, & Camí, 2002; Faggiano, Vigna-Taglianti, Versino, & Lemma, 2003; Ling, Blakis, Holmes, Klett & Carter, 1980). In addition to treatment-related factors, social networks are identified as an important factor related to concurrent heroin use. Seeing active heroin-using friends frequently was found to be associated with concurrent heroin use behavior while undergoing methadone treatment (Sullivan et al., 2014).

In China, MMT was introduced in 2004 and initialized with eight clinics to address the HIV epidemic that was driven by injecting drug users (Pang et al., 2007). The program expanded rapidly to 767 clinics that served nearly 184,000 clients by the end of 2014 (UNAIDS. 2015 China AIDS Response Progress Report, 2015). Despite this impressive growth, China’s MMT program faces several serious challenges, including a high drop-out rate and frequent concurrent heroin use during treatment (Liu et al., 2008; Lin et al., 2010; Tang & Hao, 2007). A recent study conducted in the Guangdong province of China reported that of the 6,848 participants, 75% had used heroin more than once during the first 12 months of treatment (Luo et al., 2016). Previous studies have suggested that the influence of family, including family relationships and support, might be more significant in collectivist societies such as China, due to the values of collectivistic cultures, than in Western countries, which have individualistic cultures (Liu, Li, Lu, Liu, & Zhang, 2010; Lin et al., 2011; Sullivan et al., 2014). Li and colleagues found a higher proportion of concurrent heroin use among MMT clients who reported having a family member who used drugs, although the difference was not statistically significant (Li et al., 2012). Two studies in China determined that during methadone treatment, having a weak family relationship was associated with concurrent heroin use during MMT (Luo et al., 2016; Sullivan et al., 2014). Additionally, in China, perceived family support was identified to be negatively correlated with concurrent drug use and positively associated with the physical, psychological, and social health of MMT clients (Lin et al., 2011). Building on previous findings, we explored the role of family-related factors on concurrent heroin use during MMT in China. Our results may provide some insights into family-related interventions that address concurrent heroin use during MMT.

Methods

Participants

This study used the baseline data from a randomized controlled intervention trial conducted in five Chinese provinces (Guangdong, Hunan, Jiangsu, Shanxi, and Sichuan). The data were collected between September 2012 and August 2013. In those regions, 68 MMT clinics were randomly selected from a list of MMT clinics that each had more than 80 current clients. With a systematic sampling approach and random allocation software, 36 clients were randomly selected from each MMT clinic. To be eligible for study participation, MMT clients had to (1) be at least 20 years old; (2) be enrolled in methadone treatment at a participating clinic, and (3) not have criminal or civil convictions or have severe mental disabilities.

Potential participants who met the eligibility criteria were referred to the research staff, who explained the study procedures using a standardized script. Written informed consents were obtained from all participants before assessment. Additionally, the participants were told that their participation was entirely voluntary and that the data collected would be kept confidential. A total of 2,448 MMT clients were recruited for the study, and the refusal rate was less than 10%. The study protocol was approved by the Institutional Review Boards of participating institutes in the U.S. and China.

Data collection

Questionnaires were administered by trained interviewers using the Computer-Assisted Personal Interview (CAPI) method in a private room in the MMT clinic. Trained interviewers read the questions to the participants and then directly keyed the responses into laptop computers. The CAPI method, a pre-created database with automatic skip patterns, was selected for this study to reduce data-entry errors. Each participant received 30 yuan (U.S. $4.60) for completing the assessment, which took approximately 45–60 minutes to complete. In addition, each participant’s most recent urine morphine test result was obtained from his/her clinical record.

Measures

Family-related measures: Family members’ heroin use status was measured by asking participants if there was anyone using heroin in their family. Family support of MMT was measured using the question “Do your family members support you on MMT (totally supportive; somewhat supportive; not supportive; don’t know that I am using MMT)?” Having family problems were measured using the family/social functioning score from the Addiction Severity Index (ASI). The ASI is a semi-structured interview instrument that assesses both lifetime and recent (30 days prior to treatment entry) events and behaviors. It has high inter-rater and test-retest reliability (McLellan et al., 1992). This instrument is widely used in addiction research to quantify problem areas among drug users and has been successfully validated in China (Luo, Wu, & Wei, 2010; McLellan et al., 1992; Zhao, Li , Wang, Xu, & Zhang, 2004). The composite scores of each of its seven domains range from 0 (no problems) to 10 (severe problems). In this study, we used one of the domains, family/social functioning, to measure participants’ family problems. Family/social functioning has thirteen items, which include questions such as “Are you satisfied with your current marital status?” “In the past 30 days, have you had significant periods in which you have experienced serious problems getting along with your Mother?,” and “How many days in the past 30 have you experienced family problems?” A score reflecting family/social functioning was calculated based on the ASI equation (McLellan et al., 1992). A higher score indicates a higher level of family problems.

Concurrent heroin use measures: A participant was considered a concurrent heroin user if he/she reported heroin use in the past seven days before the assessment or if his/her clinical record showed that his/her most recent urine test was positive for morphine use. Self-reported heroin use was measured by asking participants if they had used heroin in the past seven days (yes or no). The most recent urine morphine test result was obtained from each participant’s clinical record. Per Chinese MMT program policy, approximately once every month, every client is requested to provide a urine sample to assess his/her continued opiate use (Cao et al., 2014).

Other measures: Demographic information, including gender, age, marital status, education, and monthly household income (Yuan), were collected during the assessment. MMT dosage was measured by asking each participant what his/her average dose (ml) of methadone was over the past 30 days.

Statistical analysis

The SAS statistical software version 9.4 was used for data analysis (SAS Institute Inc., Cary, NC, USA). The study included a total of 2,446 participants. Two participants were excluded from the sample because they did not answer the heroin-use questions. First, we compared the proportion of concurrent heroin use across demographic characteristics, MMT dosage, and family-related factors. P-values were generated using the Chi-squared test or Student’s t-test. Then, a logistic regression model was built to estimate the odds ratio of concurrent heroin use by involving the covariates simultaneously. The covariates included the participants’ gender, age, years of schooling, monthly household income, marital status, current methadone dose, family members’ heroin use status, family members’ support on MMT and having family problems. For covariates with three categories (age, years of schooling, and monthly household income), two dummy variables were created for each variable by using the last category as the reference group (Age, REF: more than 45; Education, REF: 10 years or more; Monthly household income, REF: 10,001 or more). The adjusted odds ratios (AOR) and corresponding 95% confidence intervals (CI) are presented in Table 2. Methadone dosage was treated as a dichotomous variable using “60ml or less” as the reference group.

Table 2.

Logistic regression on concurrent heroin use (N=2446).


Outcome=Concurrent heroin use
Adjusted Odds Ratio 95% CI
Female 0.96 (0.74, 1.23)
Age (REF: More than 45)
 35 or younger 1.29 (0.95, 1.75)
 36 – 45 1.36 (1.04, 1.78)
Education (REF: 10 years or more)
 1–6 years 1.23 (0.91, 1.68)
 7–9 years 1.12 (0.90, 1.40)
Monthly household income (yuan) (REF: 10,001 or more)
 5000 or less 0.97 (0.61, 1.53)
 5001–10,000 1.14 (0.70, 1.87)
Married/living with a partner 0.63 (0.51, 0.77)
Methadone dose more than 60ml/day 1.35 (1.10, 1.66)
Having family members who use heroin 1.59 (1.17, 2.15)
Family members totally support them on MMT 0.75 (0.60, 0.94)
Family problem 2.01 (1.03, 3.93)

Results

Demographic characteristics, MMT dosage, and family-related factors are summarized in Table 1. Of the 2,446 subjects, the majority were male (N=1,937, 79.2%). Slightly over half of the participants (N=1,291, 52.8%) were between 36 and 45 years old, approximately one-quarter (N=615, 25.1%) were 35 years old or younger, and the remaining 22.1% (N=540) were older than 45 years. More than half of the sample included participants who were married or living with a partner (N=1,368, 55.9%). Slightly over half of the participants (N=1,222, 50.2%) had completed 7 to 9 years of school, and about one-third (N=853, 35.0%) had finished ten or more years. More than three quarters (N=1,907, 78.1%) of the participants reported a monthly household income of 5,000 yuan (approximately 750 U.S. Dollars) or less. The mean MMT dosage (ml) was 55, with a standard deviation of 29.6. Of the 2,446 participants, 11.6% (N=282) had family member[s] who used heroin. Roughly three-quarters of the participants (N=1,842, 75.6%) reported that their family members totally support them on MMT. The mean of participants’ family/social functioning was 0.13, with a standard deviation of 0.15 (see Table 1).

Table 1.

Demographic characteristics, methadone dosage, and family related factors, all and by concurrent heroin use (N=2446).

Concurrent Heroin Use
All (N=2446) Yes (N=533) No (N=1913) P-Value
Characteristics N (%) N (%) N (%)
Gender 0.99
 Male 1937 (79.2) 422 (21.8) 1515 (77.9)
 Female 509 (20.8) 111 (21.8) 398 (78.2)
Age 0.03
 35 or younger 615 (25.1) 138 (22.4) 477 (77.6)
 36 – 45 1291 (52.8) 300 (23.2) 991 (76.8)
 More than 45 540 (22.1) 95 (17.6) 445 (82.4)
Marital status <0.001
 Single/divorced/separated/widowed 1077(44.1) 282 (26.2) 795 (73.8)
 Married/living with a partner 1368 (55.9) 251 (18.4) 1117 (81.7)
Education
 1–6 years 362 (14.9) 84 (23.2) 278 (76.8) 0.59
 7–9 years 1222 (50.2) 271 (22.2) 951 (77.8)
 10 years or more 853 (35.0) 177 (20.8) 676 (79.2)
Monthly household income (Yuan) 0.70
 5000 or less 1907 (78.1) 416 (21.8) 1491 (78.2)
 5001–10,000 399 (16.3) 90 (22.6) 309 (77.4)
 10,001 or more 136 (5.6) 26 (19.1) 110 (80.9)  
Methadone dosage (ml/day)
 Mean (SD) 55 (29.6) 60 (29.2) 54 (29.6) <0.001
 60ml/day or less 1660 (69.3) 336 (20.2) 1324 (79.8)
 More than 60ml/day 737 (30.7) 194 (26.3) 543 (73.7)
Family members heroin use 0.03
 Yes 282 (11.6) 76 (27.0) 206 (73.1)
 No 2159 (88.4) 455 (21.1) 1704 (78.9)
Family members’ support on MMT 0.002
 Totally support 1842 (75.6) 373 (20.3) 1469 (79.7)
 Somewhat support/not support/don’t 594 (24.4) 156 (26.3) 438 (73.7)
 know them on MMT
Family problem, M (SD) 0.13 (0.15) 0.15 (0.16) 0.12 (0.24) <0.001

Among all the participants, 533 (21.8%) self-reported concurrent heroin use during the past seven days or had a positive urine morphine test result in the clinical record. The proportion of concurrent heroin use significantly differed by age (P=0.03), marital status (P<0.001) and methadone dosage (P<0.001). Additionally, the study showed a high rate of concurrent heroin use (27.0% vs. 21.1%) among participants whose family member[s] also used heroin (P=0.03). Those who reported their family members’ totally support them on MMT had a lower rate of concurrent heroin use as compared to participants who reported less or no family support (20.3% vs. 26.3%, P=0.002). Concurrent heroin users also reported a higher level of family problems (0.15 vs. 0.12, P<0.001).

The factors associated with concurrent heroin use are presented in Table 2. Controlling for the other covariates, the odds of concurrent heroin use among participants who had heroin using family member(s) was 1.59 times higher (95% CI: 1.17, 2.15) than participants who did not. Participants who reported their family totally support them on MMT were 0.75 times less likely to use heroin during treatment (95% CI: 0.60, 0.94). Having more family problems was positively correlated with concurrent heroin use (AOR: 2.01, 95% CI: 1.03, 3.93). People in the age range of 36 to 45 years old were more likely to use heroin during MMT, in comparison to older people (AOR: 1.36; 95% CI: 1.04, 1.78). Being married or living with a partner was negatively associated with concurrent heroin use (AOR: 0.63, 95% CI: 0.51, 0.77). Having a higher methadone dose was positively associated with concurrent heroin use (AOR: 1.35, 95% CI: 1.10, 1.66).

Discussion

This study showed that the proportion of concurrent heroin use was 22%, which is lower than that reported in previous studies. In the most recent study conducted in the Guangdong province of China, of the 6,848 MMT clients, 75% of them had used heroin more than once during the first 12 months of treatment (Luo et al., 2016). The difference between the findings may be attributed to a different definition of concurrent heroin use and the duration of the assessment. In Luo et al. (2016)’s study, concurrent heroin use was measured by positive urine morphine test results during the 12-month follow-up. In our study, we used both self-reported heroin use in the past seven days and the most recent urine morphine test result. Li et al. (2012) and Sullivan et al. (2014) both used the same two definitions to assess concurrent heroin use in China. Their results showed that concurrent heroin use was 44.9% and 39%, respectively. However, these two studies used self-reported heroin use in the past 30 days, which was longer than the assessment period of this study. This might explain the lower proportion of concurrent heroin use reported in this study. Nonetheless, a 22% concurrent heroin use rate within a one-week period is an alarming number. It confirms that concurrent drug use is a challenging problem for the MMT program in China and that there is an urgent need to take actions to address this critical issue.

In this study, having a family member who used heroin was shown to be positively associated with concurrent heroin use during MMT. Studies had identified that having a drug-using friend and having frequent contacts with a drug-using friend were both related to concurrent heroin use (Li et al., 2012; Sullivan et al., 2014). Negative social influences make it more difficult for MMT clients to stop using heroin because those influences make the drug more available and elicit cravings (Goehl, Nunes, Quitkin, & Hilton, 1993). Family tie, as in a relatively more intimate social circle, was found to have an influence on clients’ heroin use behavior in our study. The negative influence associated with having drug-using family member[s] has also been revealed in Wan (2012)’s study. Drug-using couples were found to be more vulnerable to continued substance use and premature treatment termination compared to single users (Wan, 2012). These results indicate that special efforts should be made to support those clients with drug using family members in order to improve their treatment outcome.

Findings in this study also showed that family support of MMT and the level of family problems perceived by MMT clients were both associated with concurrent heroin use. The same relationship had been reported in previous studies in China that identified concurrent heroin use was associated with poor family relationships (Luo et al., 2016; Sullivan et al., 2014). The role of the family in drug treatment has been considered more important in China than in individualist western cultures because of the family-oriented traditional Chinese culture (Chen & Fan, 2010; Liu et al., 2010). In the traditional Chinese culture, family members often share their experiences with each other and would consult family members first and consider their suggestions when making decisions about their lives (Muller & Desmond, 1992). Therefore, in the field of drug-dependence treatment in China, families are considered an essential element in encouraging drug users to initiate and remain in treatment. Most drug users stay with their families before and after attending treatment programs (Tang, 1995). Thus, family relationships could play a crucial role in drug treatment because harmonious relations could potentially encourage treatment participation and compliance (Liu et al., 2010). The involvement of family members in interventions for drug users is highly recommended because the understanding and support from family members will improve the treatment outcome in the long run (Liu et al., 2010; Lin et al., 2011).

We also found that clients who were married or living with a partner were less likely to use heroin during treatment. In Cao and colleagues (2012)’ study in MMT clinics in China, living with family members or friends was found to be positively associated with treatment retention. The result underscores the role of clients’ relationship to family members or intimate partners in drug treatment programs. Wan (2012)’s study of MMT clients in China found that a stable sex partner can be the best person to prevent clients’ continued drug use and to monitor their adherence to MMT. More studies are needed to investigate how regular partners can actively support clients’ MMT.

Contrary to many previous studies, we found that a high methadone dose was positively related to concurrent heroin use (Caplehorn et al., 1993; Farré et al., 2002; Faggiano et al., 2003; Ling et al. 1980). Similar results had been reported in another MMT study in China (Wan, 2012), which showed that participants who received a higher dose of methadone at baseline were more likely to drop out of treatment within three months of enrollment. Moreover, two other MMT studies in China revealed no association between methadone dose and concurrent heroin use (Luo et al., 2016; Sullivan et al., 2014). It is important to note that in this study the participants’ average methadone dosage was 55 ml. A previous study showed that methadone dosage ranging from 60 to 100 mg/day was more effective in reducing the use of heroin during treatment (Faggiano et al., 2003). The lowered average dose could be a possible explanation for the contradictory results. Another reason may be that clients with a more severe addiction were more likely to receive a higher dose in the program.

Our findings should be interpreted within the context of the limitations of this study. First, we used the baseline data from a randomized control trial, which is limited to making causal inferences. Second, the self-reported information regarding concurrent heroin use, family members’ heroin use, family members’ support of MMT and having family problems might be subjective and may introduce a potential bias. In addition, family members’ support on MMT was measured using a single-item question, which lacks reliability and validity. Nevertheless, the findings from this study concur that family members play an essential role in dealing with concurrent heroin use among MMT clients in China. It is suggested that providers pay additional attention to clients who have drug-using family members. Intervention programs to improve treatment outcomes for methadone clients are encouraged to involve family members in order to achieve the highest impacts possible.

Acknowledgements:

This study was supported by the National Institute on Drug Abuse (NIDA)/NIH Grant R01DA033130. We would like to thank the project team members in the Sichuan, Guangdong, Shaanxi, Jiangsu, and Hunan Provincial Center for Disease Control and Prevention for their contributions to this study.

Footnotes

Declaration of Interest: All authors have no conflict declared.

References:

  1. Beyrer C, Malinowska-Sempruch K, Kamarulzaman A, Kazatchkine M, Sidibe M, & Strathdee SA (2010). Time to act: A call for comprehensive responses to HIV in people who use drugs. Lancet, 376, 551–563. doi: 10.1016/S0140-6736(10)60928-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Caplehorn JR, Bell J, Kleinbaum DG, & Gebski VJ (1993). Methadone dose and heroin use during maintenance treatment. Addiction, 88(1), 119–124. [DOI] [PubMed] [Google Scholar]
  3. Chen X, & Fan R (2010). The family and harmonious medical decision making: cherishing an appropriate Confucian moral balance. The Journal of Medicine and Philosophy, 35, 573–586. doi: 10.1093/jmp/jhq046. [DOI] [PubMed] [Google Scholar]
  4. Cao X, Wu Z, Rou K, Li L, Lin C, Wang C, … the National Working Group on Methadone Maintenance Treatment Program. (2014). Retention and its predictors among methadone maintenance treatment clients in China: a six-year cohort study. Drug and Alcohol Dependence, 145, 87–93. doi: 10.1016/j.drugalcdep.2014.09.776. [DOI] [PubMed] [Google Scholar]
  5. Cao X, Wu Z, Rou K, Pang L, Luo W, Wang C, … the National Methadone Maintenance Treatment Working Group. (2012). Characteristics and associated factors of long-term retention for methadone maintenance treatment patients. Zhonghua Yu Fang Yi Xue Za Zhi, 46(11), 995–998. [PubMed] [Google Scholar]
  6. Dole VP & Joseph H (1978). Long-term outcome of patients treated with methadone maintenance. Annals of the New York Academy of Sciences, 311, 181–189. [DOI] [PubMed] [Google Scholar]
  7. Farré M, Mas A, Torrens M, Moreno V, & Camí J (2002). Retention rate and illicit opioid use during methadone maintenance interventions: a meta-analysis. Drug and Alcohol Dependence, 65(3), 283–290. [DOI] [PubMed] [Google Scholar]
  8. Faggiano F, Vigna-Taglianti F, Versino E, & Lemma P (2003) Methadone maintenance at different dosages for opioid dependence. The Cochrane Database of Systematic Reviews [electronic resource], 3, CD002208. [DOI] [PubMed] [Google Scholar]
  9. Goehl L, Nunes E, Quitkin F, & Hilton I (1993). Social networks and methadone treatment outcome: the costs and benefits of social ties. The American Journal of Drug and Alcohol Abuse, 19(3), 251–262. [DOI] [PubMed] [Google Scholar]
  10. Haig T (2003). Randomized controlled trial proves effectiveness of methadone maintenance treatment in prison. Canadian HIV/AIDS policy & law review / Canadian HIV/AIDS Legal Network, 8(3), 48. [PubMed] [Google Scholar]
  11. Joseph H, Stancliff S, & Langrod J (2000). Methadone maintenance treatment (MMT): A review of historical and clinical issues. The Mount Sinai Journal of Medicine, New York, 67, 347–364. [PubMed] [Google Scholar]
  12. Ling W, Blakis M, Holmes ED, Klett CJ, & Carter WE (1980). Restabilization with methadone after methadyl acetate maintenance. Archives of General Psychiatry, 37(2), 194–196. [DOI] [PubMed] [Google Scholar]
  13. Liu E, Wu Z, Liang T, Shen L, Zhong H, Wang B, & Roger D (2008). Risk factors associated with continued heroin use during methadone maintenance treatment in Guizhou province, China. Zhonghua Yu Fang Yi Xue Za Zhi, 42, 875–878. [PubMed] [Google Scholar]
  14. Luo W, Wu Z, & Wei X (2010). Reliability and validity of the Chinese version of the Addiction Severity Index. Journal of Acquired Immune Deficiency Syndromes, 53 (Suppl), S121–S125. doi: 10.1097/QAI.0b013e3181c7dfca. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Lin C, Wu Z, & Detels R, 2011. Family support, quality of life and concurrent substance use among methadone maintenance therapy clients in China. Public Health, 125(5), 269–274. doi: 10.1016/j.puhe.2011.01.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Lin C, Wu Z, Rou K, Yin W, Wang C, Shoptaw S, & Detels R (2010). Structural-level factors affecting implementation of the methadone maintenance therapy program in China. Journal of Substance Abuse Treatment, 38, 119–127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Liu H, Li J, Lu Z, Liu W, & Zhang Z (2010). Does Chinese culture influence psychosocial factors for heroin use among young adolescents in China? A cross-sectional study. BMC Public Health, 10, 563. doi: 10.1186/1471-2458-10-563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Li L, Lin C, Wan D, Zhang L, & Lai W (2012). Concurrent heroin use among methadone maintenance clients in China. Addictive Behaviors, 37(3), 264–268. doi: 10.1016/j.addbeh.2011.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Luo X, Zhao P, Gong X, Zhang L, Tang W, Zou X, … & Ling L (2016). Concurrent Heroin Use and Correlates among Methadone Maintenance Treatment Clients: A 12-Month Follow-up Study in Guangdong Province, China. International Journal of Environmental Research and Public Health [electronic resource], 9(3), 13. doi: 10.3390/ijerph13030305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. McLellan AT, Kushner H, Metzger D, Peters R, Smith I, Grissom G, … Argeriou M (1992). The Fifth Edition of the Addiction Severity Index. Journal of Substance Abuse Treatment, 9, 199–213. [DOI] [PubMed] [Google Scholar]
  21. Muller JK & Desmond B (1992). Ethical dilemmas in a cross-cultural context. A Chinese example. Western Journal of Medicine, 157(3), 323–327. [PMC free article] [PubMed] [Google Scholar]
  22. Magura S, Nwakeze PC, & Demsky SY (1998). Pre- and in-treatment predictors of retention in methadone treatment using survival analysis. Addiction, 93(1), 51–60. [DOI] [PubMed] [Google Scholar]
  23. Mattick RP, Ali R, White JM, O’Brien S, Wolk S, & Danz C (2003). Buprenorphine versus methadone maintenance therapy: A randomized double blind trial with 405 opioid-dependent patients. Addiction, 98, 441–452. [DOI] [PubMed] [Google Scholar]
  24. Pang L, Hao Y, Mi G, Wang C, Luo W, Rou K, & Wu Z (2007). Effectiveness of first eight methadone maintenance treatment clinics in China. AIDS, 21, s103–s107. doi: 10.1097/01.aids.0000304704.71917.64. [DOI] [PubMed] [Google Scholar]
  25. Raffa JD, Grebely J, Tossonian H, Wong T, Viljoen M, Khara M, … , Conway B (2007). The impact of ongoing illicit drug use on methadone adherence in illicit drug users receiving treatment for HIV in a directly observed therapy program. Drug and Alcohol Dependence, 89(2–3), 306–309. [DOI] [PubMed] [Google Scholar]
  26. Rowan-Szal GA, Chatham LR, & Simpson DD (2000). Importance of identifying cocaine and alcohol dependent methadone clients. The American Journal on Addictions, 9(1), 38–50. [DOI] [PubMed] [Google Scholar]
  27. Sofuoglu M, Gonzalez G, Poling J, & Kosten TR (2003). Prediction of treatment outcome by baseline urine cocaine results and self-reported cocaine use for cocaine and opioid dependence. The American Journal of Drug and Alcohol Abuse, 29(4), 713–727. [DOI] [PubMed] [Google Scholar]
  28. Sullivan SG, Wu Z, Cao X, Liu E, Detels R, & National Methadone Maintenance Treatment Working Group. (2014). Continued drug use during methadone treatment in China: a retrospective analysis of 19,026 service users. Journal of Substance Abuse Treatment, 47(1), 86–92. doi: 10.1016/j.jsat.2013.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Tang Y (1995). Rehabilitation and aftercare of drug abuse. In: Jiang ZN, ed. Heroin Addiction and Contemporary Treatments, 240–258. [Google Scholar]
  30. Tang Y & Hao W (2007). Improving drug addiction treatment in China. Addiction, 102, 1057–1063. [DOI] [PubMed] [Google Scholar]
  31. UNAIDS. 2015 China AIDS Response Progress Report (2015). Retrieved from: http://www.unaids.org/sites/default/files/country/documents/CHN_narrative_report_2015.pdf.
  32. Wan D (2012). Partnership Status, Continued Drug Use and Treatment Adherence among Newly Enrolled Methadone Maintenance Therapy Patients in China (Doctoral dissertation). Retrieved from http://escholarship.org/uc/item/38v5826j#page-2.
  33. Zhao M, Li X, Wang ZC, Xu D, & Zhang MY (2004). The risk factors related to relapse of heroin dependent patients in correction camp. Chinese Journal of Traditional & Western Medicine, 5(16), 1704–1705. [Google Scholar]
  34. Zou X, Ling L, & Zhang L (2015). Trends and risk factors for HIV, HCV and syphilis seroconversion among drug users in a methadone maintenance treatment program in China: A 7-year retrospective cohort study. BMJ Open, 5, e8162. [DOI] [PMC free article] [PubMed] [Google Scholar]

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