Abstract
We examined methadone maintenance therapy (MMT) use among HIV-positive injection drug users (IDU) in Vancouver. Among 353 participants, 199 (56.3%) were on MMT at baseline, and 48 initiated MMT during follow-up. Female gender (adjusted odds ratio [AOR] = 1.73, 95% CI: 1.14 – 2.62) and antiretroviral therapy use (AOR = 2.04, 95% CI: 1.46 – 2.86) were positively associated with MMT use, while frequent heroin injection (AOR = 0.34, 95% CI: 0.23–0.50), public injection (AOR = 0.76, 95% CI: 0.59 – 0.97), syringe borrowing (AOR = 0.54, 95% CI: 0.32 – 0.90), and non-fatal overdose (AOR = 0.58, 95% CI: 0.36 – 0.92) were negatively associated with MMT use. The rate of discontinuation of MMT was 12.46 (95% CI: 8.28 – 18.00) per 100 person years. Frequent heroin use (adjusted hazards ratio = 4.49, 95%CI: 1.81 – 11.13) was positively associated with subsequent discontinuation of MMT. These findings demonstrate the benefits of MMT among HIV-positive IDU and the need to improve access to and retention in MMT.
Keywords: methadone, injection drug use, HIV
INTRODUCTION
Opiate addiction continues to be associated with many adverse health and social harms, including infectious disease transmission, fatal overdose, elevated health care costs, public disorder and crime (American Society of Addiction Medicine, 1994; Wall et al., 2000; Wood et al., 2005). Community-based addiction treatment programs continue to be commonly applied methods used to reduce the harms of opiate addiction (Wood et al., 2007). Methadone maintenance treatment (MMT) is among the most effective treatments for opiate dependence and has been successfully implemented in both developed and developing countries (Corsi, Kwiatkowski, & Booth, 2009; Davstad, Stenbacka, Leifman, & Romelsjo, 2009; Faggiano, Vigna-Taglianti, Versino, & Lemma, 2003; Lawrinson et al., 2008). Methadone, a synthetic opiate agonist, has been shown to be effective in reducing withdrawal symptoms and the impulse to continue injecting opiates (Dole et al., 1969; Goldstein, 1991; Greenstein, Fudala, & O’Brien, 1997; Senay & Uchtenhagen, 1990).
In recent years, the benefits of MMT use among HIV-positive injection drug users (IDU) have received increasing interest. For example, MMT has been shown to increase access and adherence to antiretroviral drug treatment (ART) among IDU (Clarke, Keenan, Ryan, Barry, & Mulcahy, 2002; Spire, Lucas, & Carrieri, 2007). In a study involving IDU co-infected with HIV and hepatitis C who were receiving antiretroviral therapy, MMT was also associated with improved likelihood of virological suppression and CD4 cell count response (Palepu et al., 2006). These findings are consistent with a small number of other studies, most cross-sectional, demonstrating an impact of MMT on HIV-related outcomes (Spire, Lucas, & Carrieri, 2007; Roux et al., 2008).
A large body of literature exists examining the impact of MMT among IDU. However, there are few longitudinal investigations of MMT among HIV-positive IDU, and the vast majority of studies have been restricted to either samples of IDU in MMT or on ART. Consequently, the use of MMT within the broader community of HIV-positive IDU has not been well characterized. Therefore, we sought to longitudinally investigate MMT use among HIV-positive IDU participating in a community-recruited cohort in Vancouver, Canada.
METHODS
The AIDS Care Cohort to evaluate Exposure to Survival Services (ACCESS) is a prospective study of HIV-positive IDU based out of Vancouver, Canada. The ACCESS cohort was populated through snowball sampling and extensive street outreach methods in the city’s Downtown Eastside. Individuals were eligible for ACCESS if they were aged 18 years or older, HIV-seropositive, had used injection drugs, and provided written informed consent. Evidence of recent injection drug use was confirmed via inspection of needle tracks. At baseline and at every 6-month follow-up, participants answer a standardized interviewer-administered questionnaire and provide blood samples for serologic analysis. In the present study, cohort participants were eligible if they reported heroin or MMT use at baseline or at any time during the study period spanning from December 2005 to May 2008.
The local setting is unique in that there is a province-wide centralized antiretroviral dispensation program and HIV/AIDS laboratory, which enables a complete prospective profile of all patient CD4 cell count determinations and plasma HIV-1 RNA levels, as well as a complete prospective profile of antiretroviral therapy use among cohort participants. This includes the specific antiretroviral agents prescribed, including dose, as well as a validated measure of patient adherence derived from prescription refill compliance. The universal healthcare system and centralized antiretroviral dispensary provides free HIV/AIDS care and antiretroviral therapy to all HIV-infected individuals in the province and enables the examination of HIV-related outcomes in a setting where financial barriers to health care and HIV treatment are largely eliminated. The study has been approved by the Providence Health Care/University of British Columbia Research Ethics Board. Plasma HIV-1 RNA was measured using the Roche Amplicor Monitor assay (Roche Molecular Systems, Mississauga, Canada).
The primary outcome of interest was self-reporting current enrollment in MMT. Explanatory variables of interest in our analyses included: age (above the median vs. below the median); gender (female vs. male); Aboriginal ethnicity (yes vs. no); residence in the Downtown Eastside (DTES), Vancouver’s HIV epicenter (yes vs. no); homelessness (yes vs. no); frequent heroin injection (yes vs. no); frequent cocaine injection (yes vs. no); frequent methamphetamine use (yes vs. no); frequent crack use (yes vs. no); public injection (yes vs. no); syringe borrowing (yes vs. no); syringe lending (yes vs. no); sex work involvement (yes vs. no); recent non-fatal overdose (yes vs. no); recent incarceration (yes vs. no); CD4 count (> 200 copies/uL vs. < 200 copies/uL); and being on ART (yes vs. no). All behavioral variables referred to the 6-month period prior to the interview. If more than one CD4 count sample had been taken within the last 6 months, then the mean of those samples would be used. If a sample had not been taken within the last 6 months, then the first available sample prior to the interview was used.
We began by analyzing univariate relationships between the potential explanatory variables and MMT use at baseline using a Pearson’s chi-square. Next, we identified factors associated with MMT use during follow-up. Here, since serial measures were available for each subject, we used generalized estimating equations (GEE) for binary outcomes with logit link for the analysis of correlated data to determine which factors were independently associated with using MMT in the prior 6 months throughout the 24-month follow-up period. These methods provided standard errors adjusted by multiple observations per person using an exchangeable correlation structure. Therefore, data from every participant follow-up visit was considered in this analysis. For instance, an individual participant may have gone off and on MMT during follow-up, and this approach serves to examine behaviors and characteristics that correlated with times on versus off MMT within individuals and between individuals. This approach has been used successfully in previous studies examining correlates of drug treatment access in prospective cohort studies of IDU (Kerr et al., 2007; Shah et al., 2000a). We fitted a multivariate GEE model using an a priori defined model building protocol to include all variables that were statistically significant at p < 0.05 in univariate analyses. As a subanalysis, to examine predictors of time to discontinuation of MMT, we conducted univariate and multivariate Cox regression analyses that incorporated the same set of independent variables considered in our GEE analyses focused on MMT use. However, we examined potential predictor variables from the follow-up period occurring 6 months prior to a reported discontinuation of MMT as a means of identifying predictors (rather than consequences) of MMT discontinuation. For these analyses, we also considered methadone dose (per 100 ml) as a potential predictor of MMT discontinuation. We fit our multivariate Cox regression model using an a priori defined model building protocol to include all variables that were statistically significant at p < 0.05 in univariate analyses. All statistical procedures were performed using SAS software (SAS, Cary, NC, USA). All p-values are two-sided.
RESULTS
Of the 353 IDU eligible for the present analysis, 138 (39.1%) were female and 131 (37.1%) reported Aboriginal ancestry. The median age at baseline was 40.8 years. At baseline, 199 (56.4%) participants were enrolled in MMT and an additional 49 participants initiated MMT during follow-up. Of the individuals who ever used MMT at some point during follow-up, the rate of discontinuation of MMT was 12.46 (95%CI: 8.28 – 18.00) per 100 person years.
As shown in Table 1, baseline factors positively associated with MMT use included age above the median (odds ratio [OR] = 1.55, 95% confidence interval [CI]: 1.01–2.36) and being on ART (OR = 3.57 95% CI: 2.23–5.72), while homelessness (OR = 0.29, 95% CI: 0.17–0.49), frequent heroin injection (OR = 0.17, 95% CI: 0.10–0.28), public injection (OR = 0.38, 95% CI: 0.25–0.59), syringe borrowing (OR= 0.35, 95% CI: 0.17–0.72), non-fatal overdose (OR = 0.47, 95% CI: 0.23–0.97) were negatively associated with MMT use.
Table 1.
Characteristic | Yes n (%)(n = 199) | No n (%)(n = 154) | Odds Ratio (95% CI) | p-value |
---|---|---|---|---|
Age | ||||
> median (40.8 years) | 105 (53.0) | 65 (42.2) | 1.55 (1.01–2.36) | 0.044 |
< median (40.8 years) | 93 (47.0) | 89 (57.8) | ||
Gender | ||||
female | 83 (41.7) | 55 (35.7) | 1.29 (0.83–1.99) | 0.252 |
male | 116 (58.3) | 99 (64.3) | ||
Aboriginal ancestry | ||||
yes | 69 (34.7) | 62 (40.3) | 0.79 (0.51–1.22) | 0.281 |
no | 130 (65.3) | 92 (59.7) | ||
DTES residence | ||||
yes | 138 (69.3) | 113 (73.4) | 0.82 (0.51–1.31) | 0.408 |
no | 61 (30.7) | 41 (26.6) | ||
Homelessness | ||||
yes | 27 (13.6) | 54 (35.1) | 0.29 (0.17–0.49) | < 0.001 |
no | 172 (86.4) | 100 (64.9) | ||
Frequent heroin injection* | ||||
yes | 28 (14.1) | 76 (49.4) | 0.17 (0.10–0.28) | < 0.001 |
no | 171 (85.9) | 78 (50.6) | ||
Frequent cocaine injection* | ||||
yes | 20 (10.1) | 23 (14.9) | 0.64 (0.34–1.21) | 0.164 |
no | 179 (89.9) | 131 (85.1) | ||
Frequent methamphetamine use* | ||||
yes | 4 (2.00) | 8 (5.20) | 0.37 (0.11–1.27) | 0.102 |
no | 195 (98.0) | 146 (94.8) | ||
Frequent crack use* | ||||
yes | 90 (45.2) | 81 (52.6) | 0.74 (0.49–1.13) | 0.169 |
no | 109 (54.8) | 73 (47.4) | ||
Public injection* | ||||
yes | 65 (32.7) | 86 (55.8) | 0.38 (0.25–0.59) | < 0.001 |
no | 134 (67.3) | 68 (44.2) | ||
Syringe borrowing* | ||||
yes | 12 (6.00) | 24 (15.6) | 0.35 (0.17–0.72) | 0.003 |
no | 187 (94.0) | 130 (84.4) | ||
Syringe lending* | ||||
yes | 8 (4.00) | 8 (5.20) | 0.76 (0.28–2.08) | 0.599 |
no | 191 (96.0) | 146 (94.8) | ||
Sex work involvement* | ||||
yes | 37 (18.6) | 23 (14.9) | 1.30 (0.74–2.30) | 0.364 |
no | 162 (81.4) | 131 (85.1) | ||
Recent incarceration* | ||||
yes | 38 (19.1) | 33 (21.4) | 0.87 (0.51–1.46) | 0.588 |
no | 161 (80.9) | 121 (78.6) | ||
Non-fatal overdose* | ||||
yes | 13 (6.50) | 20 (13.0) | 0.47 (0.23–0.97) | 0.039 |
no | 186 (93.5) | 134 (87.0) | ||
CD4 count* | ||||
> 200 copies/μL | 53 (26.6) | 33 (21.4) | 1.33 (0.81–2.19) | 0.259 |
≤ 200 copies/μL | 146 (73.4) | 121 (78.6) | ||
On ART* | ||||
yes | 119 (66.1) | 47 (35.3) | 3.57 (2.23–5.72) | < 0.001 |
no | 61 (33.9) | 86 (64.7) |
Refers to the 6-month period prior to the interview
The results from the univariate GEE analyses are displayed in Table 2. As shown here, MMT use was positively associated with being on ART (OR = 2.11 95% CI: 1.55–2.88), while frequent heroin injection (OR = 0.33, 95% CI: 0.23–0.46), public injection (OR = 0.61, 95% CI: 0.48–0.76), syringe borrowing (OR = 0.56, 95% CI: 0.37–0.85), non-fatal overdose (OR = 0.58, 95% CI: 0.40–0.86) were negatively associated with being on MMT.
Table 2.
Characteristic | Unadjusted | Adjusted | ||
---|---|---|---|---|
Odds Ratio (95% CI) | p - value | Odds Ratio (95% CI) | p - value | |
Age* | ||||
(> median (40.8 years) vs. < median) | 1.42 (1.00–2.01) | 0.048 | 0.99 (0.68–1.46) | 0.973 |
Gender† | ||||
(female vs. male) | 1.19 (0.82–1.76) | 0.354 | 1.73 (1.14–2.62) | 0.010 |
Aboriginal ethnicity‡ | ||||
(Aboriginal vs. other) | 0.91 (0.62–1.33) | 0.621 | 0.79 (0.52–1.20) | 0.269 |
DTES residence | ||||
(yes vs. no) | 0.76 (0.57–1.04) | 0.084 | ||
Homelessness | ||||
(yes vs. no) | 0.74 (0.55–1.00) | 0.051 | 0.79 (0.56–1.10) | 0.164 |
Frequent heroin injection* | ||||
(yes vs. no) | 0.33 (0.23–0.46) | < 0.001 | 0.34 (0.23–0.50) | < 0.001 |
Frequent cocaine injection* | ||||
(yes vs. no) | 0.83 (0.57–1.20) | 0.313 | 1.42 (0.92–2.21) | 0.115 |
Frequent crack use* | ||||
(yes vs. no) | 0.85 (0.69–1.05) | 0.122 | 1.10 (0.86–1.40) | 0.463 |
Frequent methamphetamine use* | ||||
(yes vs. no) | 0.60 (0.29–1.24) | 0.166 | ||
Public injection* | ||||
(yes vs. no) | 0.61 (0.48–0.76) | < 0.001 | 0.76 (0.59–0.97) | 0.031 |
Syringe borrowing* | ||||
(yes vs. no) | 0.56 (0.37–0.85) | 0.006 | 0.54 (0.32–0.90) | 0.019 |
Syringe lending* | ||||
(yes vs. no) | 0.69 (0.36–1.32) | 0.259 | ||
Sex work involvement* | ||||
(yes vs. no) | 1.15 (0.84–1.55) | 0.383 | ||
Recent incarceration* | ||||
(yes vs. no) | 0.97 (0.74–1.27) | 0.383 | ||
Non-fatal overdose* | ||||
(yes vs. no) | 0.58 (0.40–0.86) | 0.006 | 0.58 (0.36–0.92) | 0.021 |
CD4 count | ||||
(> 200 copies/μL vs. ≤ 200 copies/μL) | 1.26 (0.94–1.74) | 0.126 | 1.21 (0.87–1.69) | 0.260 |
On ART* | ||||
(yes vs. no) | 2.11 (1.55–2.88) | < 0.001 | 2.04 (1.46–2.86) | < 0.001 |
Refers to the 6-month period prior to the interview
In the multivariate GEE analysis, also shown in Table 2, factors independently and positively associated with accessing MMT included female gender (adjusted odds ratio [AOR] = 1.73, 95% CI: 1.14–2.62) and being on ART (AOR = 2.04, 95% CI: 1.46–2.86). Factors independently and negatively associated with MMT use included: frequent heroin injection (AOR = 0.34, 95% CI: 0.23–0.50); public injection (AOR = 0.76, 95% CI: 0.59–0.97); syringe borrowing (AOR = 0.54, 95% CI: 0.32–0.90); non-fatal overdose (AOR = 0.58, 95% CI: 0.36–0.92). In subanalyses using univariate Cox regression, frequent heroin use was associated with MMT discontinuation (Hazard Ratio [HR] = 6.07, 95%CI: 2.81 – 13.01). Factors negatively associated with MMT discontinuation in univariate analyses included age above the median (HR = 1.55, 95% CI: 1.01 – 2.36), frequent heroin injection (HR = 6.07, 95%CI: 2.81 – 13.10), and methadone dose per 100ml (HR = 0.34, 95%CI: 0.14 – 0.79). In multivariate Cox regression analyses, frequent heroin use (adjusted hazards ratio [AHR] = 4.49, 95%CI: 1.81 – 11.13) was the only factor that remained associated with time to MMT discontinuation.
DISCUSSION
In the present analysis, MMT had been accessed by approximately 56% of opioid-using HIV-positive IDU at baseline, as well as another 13% during follow-up, and was independently associated with a reduction in a range of health-related harms, including reduced heroin injection, public injection, syringe borrowing, and non-fatal overdose. The rate of discontinuation of MMT was 12.46 (8.28 – 18.00) per 100 person years.
The results have indicated a moderate amount of MMT use among HIV-positive IDU; however, the rate of discontinuation of MMT is of concern given that provincial guidelines in British Columbia favor long-term treatment (> 2 years) and given previous findings indicating better outcomes for individuals exposed to continuous treatment (Condelli & Dunteman, 1993; Kerr, Marsh, Li, Montaner, & Wood, 2005). In our analysis, individuals engaged in frequent heroin injection were more likely to subsequently discontinue MMT, and suggest that efforts should be made to promote retention in treatment among those at risk of premature discontinuation of MMT, including those engaging in higher intensity drug use behavior.
Female gender was a strong predictor of MMT use in this study, with our results suggesting that women are more than 1.5 times more likely than men to be accessing MMT. These findings are consistent with previous studies (Shah et al., 2000b; Wood et al., 2005) which have recognized that females are more likely to start MMT than males. However, further research is necessary to unpack the relationship between gender and MMT and identify ways of refining methods to attract male IDU to initiate MMT.
It is also of interest to note that no association existed between Aboriginal ethnicity and MMT. Indeed, previous studies examining addiction treatment, including MMT, have observed that Aboriginal IDU have lower rates of addiction treatment access (Craib et al., 2003; Wood et al., 2005; Wood et al., 2007; Wood et al., 2008). It appears that recent efforts to expand MMT access have resulted in an increased access to MMT among Aboriginal IDU (Marsh & Fair, 2006). Given the ongoing burden of HIV/AIDS among Aboriginal IDU (Wood et al., 2008), lower rates of ART access within this population (Wood et al., 2006), and the identified impacts of MMT use, these results are encouraging.
Non-fatal overdose, syringe borrowing, frequent heroin injection, and public injection were all negatively associated with MMT use. These findings are consistent with other studies that illustrate how MMT use can protect against an array of drug-related risks and harms, including the risk for injection-related infections that arises from injecting within unhygienic environments (e.g., public alleyways) (Kerr et al., 2004). Indeed, HIV-positive IDU are believed to have a heightened susceptibility to bacterial infections due to compromised immunity and, again, these results are very encouraging (Palepu, 2001). Among participants eligible for ART, individuals on MMT were more than twice as likely to have accessed ART. These results are similar to other studies demonstrating higher rates of ART access and adherence among IDU on MMT (Roux et al., 2008; Lucas et al., 2007).
There are several limitations to this study. First, the study sample was not selected at random; this might limit the ability to generalize these findings to other groups of HIV-positive IDU. Also, the possibility of social desirability influencing responses to questions about some behaviors exist, which could potentially affect some variables (e.g., public injection) (Des Jarlais et al., 1999). However, we can think of no reason why differential reporting by MMT status would occur. Finally, accessing MMT was self-reported by all participants. However, the results from the study have generated strong relationships which are similar to results documented in past studies (Ball & Ross, 1991).
In summary, we observed a high rate of uptake of MMT among HIV-positive IDU in this study, although some discontinuation of MMT, predicted by more intensive heroin injection, was also observed. MMT use was associated with a reduced likelihood of frequent heroin injection, syringe borrowing, non-fatal overdose, and public injection. Further, MMT use was positively associated with access to ART. These findings provide further confirmation of the positive benefits of MMT, although efforts should seek to ensure higher rates of access to and continuation of MMT in this setting.
Acknowledgments
The authors thank the study participants for their contribution to the research, as well as current and past researchers and staff. We would specifically like to thank Deborah Graham, Tricia Collingham, Caitlin Johnston, and Steve Kain for their research and administrative assistance. We would also like to acknowledge Dr. Robert Hogg for his research contributions. The study was supported by the US National Institutes of Health (R01DA021525) and the Canadian Institutes of Health Research (MOP-79297, RAA-79918). Thomas Kerr is supported by the Michael Smith Foundation for Health Research and the Canadian Institutes of Health Research.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- American Society of Addiction Medicine. Public policy statement on national drug policy. J Addict Dis. 1994;13(4):231–234. [PubMed] [Google Scholar]
- Ball J, Ross A. The Effectiveness of Methadone Maintenance Treatment: Patients, Programs, Services and Outcomes. New York: Springer-Verlag; 1991. [Google Scholar]
- Clarke S, Keenan E, Ryan M, Barry M, Mulcahy F. Directly observed antiretroviral therapy for injection drug users with HIV infection. AIDS Read. 2002;12(7):305–307. 312–306. [PubMed] [Google Scholar]
- Condelli WS, Dunteman GH. Exposure to methadone programs and heroin use. Am J Drug Alcohol Abuse. 1993;19(1):65–78. doi: 10.3109/00952999309002666. [DOI] [PubMed] [Google Scholar]
- Corsi KF, Kwiatkowski CF, Booth RE. Predictors of methamphetamine injection in out-of-treatment IDUs. Subst Use Misuse. 2009;44(3):332–342. doi: 10.1080/10826080802344765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Craib KJ, Spittal PM, Wood E, Laliberte N, Hogg RS, Li K, et al. Risk factors for elevated HIV incidence among Aboriginal injection drug users in Vancouver. CMAJ. 2003;168(1):19–24. [PMC free article] [PubMed] [Google Scholar]
- Davstad I, Stenbacka M, Leifman A, Romelsjo A. An 18-year follow-up of patients admitted to methadone treatment for the first time. J Addict Dis. 2009;28(1):39–52. doi: 10.1080/10550880802544997. [DOI] [PubMed] [Google Scholar]
- Des Jarlais DC, Paone D, Milliken J, Turner CF, Miller H, Gribble J, et al. Audio-computer interviewing to measure risk behaviour for HIV among injecting drug users: a quasi-randomised trial. Lancet. 1999;353(9165):1657–1661. doi: 10.1016/s0140-6736(98)07026-3. [DOI] [PubMed] [Google Scholar]
- Dole VP, Robinson JW, Orraca J, Towns E, Searcy P, Caine E. Methadone treatment of randomly selected criminal addicts. N Engl J Med. 1969;280(25):1372–1375. doi: 10.1056/NEJM196906192802502. [DOI] [PubMed] [Google Scholar]
- Faggiano F, Vigna-Taglianti F, Versino E, Lemma P. Methadone maintenance at different dosages for opioid dependence. Cochrane Database Syst Rev. 2003;(3):CD002208. doi: 10.1002/14651858.CD002208. [DOI] [PubMed] [Google Scholar]
- Goldstein A. Heroin addiction: neurobiology, pharmacology, and policy. J Psychoactive Drugs. 1991;23(2):123–133. doi: 10.1080/02791072.1991.10472231. [DOI] [PubMed] [Google Scholar]
- Greenstein RAJFP, O’Brien CP, editors. Alternative pharmacotherapies for opiate addiction. Baltimore: Williams and Wilkins; 1997. [Google Scholar]
- Kerr T, Fairbairn N, Tyndall M, Marsh D, Li K, Montaner J, et al. Predictors of non-fatal overdose among a cohort of polysubstance-using injection drug users. Drug Alcohol Depend. 2007;87(1):39–45. doi: 10.1016/j.drugalcdep.2006.07.009. [DOI] [PubMed] [Google Scholar]
- Kerr T, Marsh D, Li K, Montaner J, Wood E. Factors associated with methadone maintenance therapy use among a cohort of polysubstance using injection drug users in Vancouver. Drug Alcohol Depend. 2005 doi: 10.1016/j.drugalcdep.2005.05.002. [DOI] [PubMed] [Google Scholar]
- Kerr T, Marshall A, Walsh J, Palepu A, Tyndall M, Montaner J, et al. Determinants of HAART discontinuation among injection drug users. AIDS Care. 2005;17(5):539–549. doi: 10.1080/09540120412331319778. [DOI] [PubMed] [Google Scholar]
- Kerr T, Wood E, Grafstein E, Ishada T, Shannon K, Lai C, et al. High rates of primary care and emergency department use among injection drug users in Vancouver. J Public Health. 2004;27(1):62–66. doi: 10.1093/pubmed/fdh189. [DOI] [PubMed] [Google Scholar]
- Lawrinson P, Ali R, Buavirat A, Chiamwongpaet S, Dvoryak S, Habrat B, et al. Key findings from the WHO collaborative study on substitution therapy for opioid dependence and HIV/AIDS. Addiction. 2008;103(9):1484–1492. doi: 10.1111/j.1360-0443.2008.02249.x. [DOI] [PubMed] [Google Scholar]
- Lucas GM, Mullen BA, McCaul ME, Weidle PJ, Hader S, Moore RD. Adherence, drug use, and treatment failure in a methadone-clinic-based program of directly administered antiretroviral therapy. AIDS Patient Care STDS. 2007;21(8):564–574. doi: 10.1089/apc.2006.0192. [DOI] [PubMed] [Google Scholar]
- Marsh DC, Fair BR. Addiction treatment in Vancouver. Int J Drug Pol. 2006;17(2):137–141. [Google Scholar]
- Palepu ATM, Leon H, et al. Hospital utilization and costs in a cohort of injection drug users. CMAJ. 2001;165:415–420. [PMC free article] [PubMed] [Google Scholar]
- Palepu A, Tyndall MW, Joy R, Kerr T, Wood E, Press N, et al. Antiretroviral adherence and HIV treatment outcomes among HIV/HCV co-infected injection drug users: the role of methadone maintenance therapy. Drug and Alcohol Depend. 2006;84(2):188–194. doi: 10.1016/j.drugalcdep.2006.02.003. [DOI] [PubMed] [Google Scholar]
- Roux P, Carrieri MP, Villes V, Dellamonica P, Poizot-Martin I, Ravaux I, et al. The impact of methadone or buprenorphine treatment and ongoing injection on highly active antiretroviral therapy (HAART) adherence: evidence from the MANIF2000 cohort study. Addiction. 2009;103(11):1828–1836. doi: 10.1111/j.1360-0443.2008.02323.x. [DOI] [PubMed] [Google Scholar]
- Spire B, Lucas GM, Carrieri MP. Adherence to HIV treatment among IDUs and the role of opioid substitution treatment (OST) Int J Drug Policy. 2007 Aug;18(4):262–70. doi: 10.1016/j.drugpo.2006.12.014. [DOI] [PubMed] [Google Scholar]
- Senay E, Uchtenhagen A. Methadone in the treatment of opioid dependence: A review of world literature. In: Arif A, Westermeyer J, editors. Methadone Maintenance in the Management of Opioid Dependence. New York: Prager; 1990. [Google Scholar]
- Shah NG, Celentano DD, Vlahov D, Stambolis V, Johnson L, Nelson KE, et al. Correlates of enrollment in methadone maintenance treatment programs differ by HIV-serostatus. AIDS. 2000a;14(13):2035–2043. doi: 10.1097/00002030-200009080-00020. [DOI] [PubMed] [Google Scholar]
- Shah NG, Celentano DD, Vlahov D, Stambolis V, Johnson L, Nelson KE, et al. Correlates of enrollment in methadone maintenance treatment programs differ by HIV-serostatus [In Process Citation] AIDS. 2000b;14(13):2035–2043. doi: 10.1097/00002030-200009080-00020. [DOI] [PubMed] [Google Scholar]
- Spire B, Lucas GM, Carrieri MP. Adherence to HIV treatment among IDUs and the role of opioid substitution treatment (OST) Int J Drug Policy. 2007;18(4):262–270. doi: 10.1016/j.drugpo.2006.12.014. [DOI] [PubMed] [Google Scholar]
- Wall R, Rehm J, Fischer B, Brands B, Gliksman L, Stewart J, et al. Social costs of untreated opioid dependence. J Urban Health. 2000;77(4):688–722. doi: 10.1007/BF02344032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wood E, Hogg RS, Lima VD, Kerr T, Yip B, Marshall BD, et al. Highly active antiretroviral therapy and survival in HIV-infected injection drug users. JAMA. 2008;300(5):550–554. doi: 10.1001/jama.300.5.550. [DOI] [PubMed] [Google Scholar]
- Wood E, Hogg RS, Yip B, Harrigan PR, O’Shaughnessy MV, Montaner JS. Effect of medication adherence on survival of HIV-infected adults who start highly active antiretroviral therapy when the CD4+ cell count is 0.200 to 0.350 x 10(9) cells/L. Ann Intern Med. 2003;139(10):810–816. doi: 10.7326/0003-4819-139-10-200311180-00008. [DOI] [PubMed] [Google Scholar]
- Wood E, Kerr T, Palepu A, Zhang R, Strathdee SA, Tyndall MW, et al. Slower uptake of HIV antiretroviral therapy among Aboriginal injection drug users. J Infect. 2006;52(4):233–236. doi: 10.1016/j.jinf.2005.07.008. [DOI] [PubMed] [Google Scholar]
- Wood E, Li K, Palepu A, Marsh DC, Schechter MT, Hogg RS, et al. Sociodemographic disparities in access to addiction treatment among a cohort of Vancouver injection drug users. Subst Use Misuse. 2005;40(8):1153–1167. doi: 10.1081/JA-200042287. [DOI] [PubMed] [Google Scholar]
- Wood E, Montaner JS, Li K, Barney L, Tyndall MW, Kerr T. Rate of methadone use among Aboriginal opioid injection drug users. CMAJ. 2007;177(1):37–40. doi: 10.1503/cmaj.070105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wood E, Montaner JS, Li K, Zhang R, Barney L, Strathdee SA, et al. Burden of HIV infection among aboriginal injection drug users in Vancouver, British Columbia. Am J Public Health. 2008;98(3):515–519. doi: 10.2105/AJPH.2007.114595. [DOI] [PMC free article] [PubMed] [Google Scholar]