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Methamphetamine and HIV: Intersecting epidemics among MSM Grant Colfax, MD Co-Director HIV Epidemiology AIDS Office San Francisco Department of Public Health
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What’s new? Update epidemiology of MSM methamphetamine use Update epidemiology of MSM methamphetamine use Describe relationship between methamphetamine use and HIV risk among MSM Describe relationship between methamphetamine use and HIV risk among MSM Describe current and potential future methamphetamine/HIV prevention research among MSM Describe current and potential future methamphetamine/HIV prevention research among MSM
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Methamphetamine use among MSM CDC National HIV Behavioral Surveillance Survey Site Meth use Last 12 months Weekly or more San Francisco 21% 6% Miami 18% NA San Diego 15% NA New York 14% 3% Los Angeles 13% 4% Chicago 10% 2% Baltimore 7% 3% 7% 3%
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Characteristics of meth users, SF NHBS No difference in prevalence of meth use by race/ethnicity No difference in prevalence of meth use by race/ethnicity 66% reported meth use during recent sex 66% reported meth use during recent sex 8% were injectors 8% were injectors 93% also reported using poppers or cocaine 93% also reported using poppers or cocaine 24% had ever sought meth treatment 24% had ever sought meth treatment
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Methamphetamine and HIV risk
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Methamphetamine and HIV seroconversion EXPLORE study results Risk factor for HIV AHR 95% CI Attributable fraction Methamphetamine use 1.91.4-2.616 URA with HIV+ 3.42.2-5.118 URA with unknown status 2.82.1-3.828 Gonorrhea2.51.4-4.24 Koblin, Husnik, Colfax, et. al, AIDS 2006
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How can methamphetamine use be independently associated with HIV infection? Unmeasured behavioral confounders Unmeasured behavioral confounders More traumatic sex More traumatic sex Partner selection Partner selection More likely to be HIV-positive More likely to be HIV-positive Biased reporting Biased reporting Direct biologic effects Direct biologic effects Impaired T-cell responses Impaired T-cell responses Pro-inflammatory Pro-inflammatory Increased viral load Increased viral load
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Non-adherence due to methamphetamine use Ability to Eat/Drink Partying/ Medication Vacations Inability to Maintain Schedule Sleeping Through Doses Avoiding Drug Mixing 100% of meth users claimed that their meth use had an effect on adherence Reback, 2004 % reporting
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Methamphetamine is associated with primary drug resistance OPTIONS cohort OPTIONS cohort 400 SF MSM with recent HIV infection 400 SF MSM with recent HIV infection 27% reported meth use in 30 days prior to enrollment 27% reported meth use in 30 days prior to enrollment Meth use independently associated with primary NNRTI resistance (Adj OR 3.5, 95% 95% CI 1.2-10.8) Meth use independently associated with primary NNRTI resistance (Adj OR 3.5, 95% 95% CI 1.2-10.8) Colfax, Hecht, Grant, et. al, AIDS 2007
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Interventions for methamphetamine users Approaches Approaches Counseling Counseling Contingency management Contingency management Pharmacologic Pharmacologic Structural Structural
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Counseling for meth dependence is associated with reduced meth use MATRIX intervention MATRIX intervention Meth-dependent persons in treatment programs Meth-dependent persons in treatment programs Relapse prevention model Relapse prevention model Primarily heterosexuals Primarily heterosexuals 56 behavioral sessions vs. standard outpatient treatment 56 behavioral sessions vs. standard outpatient treatment Compared with standard treatment: Compared with standard treatment: Meth use decreased more in intervention during active phase Meth use decreased more in intervention during active phase Similar reductions in meth use in standard and intervention arms at 6-month follow-up Similar reductions in meth use in standard and intervention arms at 6-month follow-up Rawson, 2004
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Risk behavior declines among MSM in meth behavioral interventions Mean number of episodes of unprotected insertive anal sex Shoptaw 2005
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MSM in contingency management reduce risk Mean number of episodes of unprotected insertive anal sex Shoptaw 2005
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Will a behavioral risk-reduction approach work among diverse SUMSM? Project MIX Project MIX Multi-site CDC collaborative intervention Multi-site CDC collaborative intervention 1198 SUMSM enrolled 1198 SUMSM enrolled 62% men of color 62% men of color Randomized 6-session group intervention Randomized 6-session group intervention Not targeted to treatment-seeking MSM Not targeted to treatment-seeking MSM Primary outcome: sexual risk behavior Primary outcome: sexual risk behavior
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Behavioral interventions Challenges How efficacious are they? How efficacious are they? To date, small sample sizes among MSM To date, small sample sizes among MSM Unknown what degree of behavior change is necessary to reduce HIV infection rates Unknown what degree of behavior change is necessary to reduce HIV infection rates Are behavioral effects sustained? Are behavioral effects sustained? Feasibility Feasibility Generalizability Generalizability Most tested among treatment-seeking populations Most tested among treatment-seeking populations Can heavy meth users consistently engage in and re-learn healthier behaviors? Can heavy meth users consistently engage in and re-learn healthier behaviors?
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Pharmacologic treatment for methamphetamine users Failed or unpromising agents: sertraline, amlodipine, imipramine, dextroamphetamine Failed or unpromising agents: sertraline, amlodipine, imipramine, dextroamphetamine Bupropion: some promise among less heavy users (Ahmed, in press, 2007). Bupropion: some promise among less heavy users (Ahmed, in press, 2007). Phase 2 study of bupropion among MSM in progress Phase 2 study of bupropion among MSM in progress Safety Safety Adherence Adherence Sexual risk Sexual risk
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Pharmacologic approaches Mirtazapine (Remeron) Mirtazapine (Remeron) “Dual action” - - works on serotonergic and dopaminergic pathways “Dual action” - - works on serotonergic and dopaminergic pathways Small RCT in Thai meth-dependent persons Small RCT in Thai meth-dependent persons Mirtazapine reduced meth withdrawal symptoms Mirtazapine reduced meth withdrawal symptoms Independent of effects on depression Independent of effects on depression Efficacy study among high-risk MSM in progress Efficacy study among high-risk MSM in progress Source: Kongsakon 2005
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Pharmacologic approaches…. Aripiprazole (Abilify) Aripiprazole (Abilify) “Atypical” antipsychotic “Atypical” antipsychotic D2 partial agonist D2 partial agonist May prevent meth withdrawal May prevent meth withdrawal May decrease effects of meth use May decrease effects of meth use Some drug discrimination studies show aripiprazole blocks meth’s effects compared with placebo Some drug discrimination studies show aripiprazole blocks meth’s effects compared with placebo Sources: Lile 2005; De la Garza, 2005
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Pharmacologic interventions Challenges Pharmacologic interventions Challenges Likely will need to be combined with behavioral therapy for greatest efficacy Likely will need to be combined with behavioral therapy for greatest efficacy But very intensive behavioral platforms may overwhelm any detectable drug effects But very intensive behavioral platforms may overwhelm any detectable drug effects Side effects Side effects Duration Duration Cost Cost
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Structural interventions Increased federal regulation in meth precursors associated with declines in: Increased federal regulation in meth precursors associated with declines in: Meth-related hospital admissions Meth-related hospital admissions Meth potency Meth potency Meth-related arrests Meth-related arrests Effects may be transient Effects may be transient Will market forces ensure that supply = demand? Will market forces ensure that supply = demand? Suo 2004, Cunningham 2005 Suo 2004, Cunningham 2005
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Conclusions and future directions Meth epidemic among MSM continues Meth epidemic among MSM continues High across all areas in US High across all areas in US Meth use common, frequent use less so Meth use common, frequent use less so What keeps most MSM from using meth? What keeps most MSM from using meth? What causes some MSM to become heavy meth users? What causes some MSM to become heavy meth users? Meth use increases risk of HIV infection Meth use increases risk of HIV infection Meth about doubles risk Meth about doubles risk Behavioral dis-inhibition Behavioral dis-inhibition Plausible biologic mechanisms Plausible biologic mechanisms Critical need for continued testing of interventions Critical need for continued testing of interventions Distinguish populations: heavy users vs. episodic users; injectors Distinguish populations: heavy users vs. episodic users; injectors Are effects of interventions sustainable, and will they reduce HIV? Are effects of interventions sustainable, and will they reduce HIV? Pharmacologic interventions promising, but not proven Pharmacologic interventions promising, but not proven
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Acknowledgements SFDPH: Susan Buchbinder, James Gaspar, Robert Guzman, Tim Matheson, David Bandy, Jeff Klausner, Willi McFarland, Henry Raymond-Fisher SFDPH: Susan Buchbinder, James Gaspar, Robert Guzman, Tim Matheson, David Bandy, Jeff Klausner, Willi McFarland, Henry Raymond-Fisher UCSF: Robert Grant, Rick Hecht, Paula Lum, Meg Newman, Eric Vittinghoff UCSF: Robert Grant, Rick Hecht, Paula Lum, Meg Newman, Eric Vittinghoff UCLA: Cathy Reback, Steve Shoptaw UCLA: Cathy Reback, Steve Shoptaw UCSD: Steffanie Strathdee, Tom Patterson UCSD: Steffanie Strathdee, Tom Patterson CDC: Gordon Mansergh, David Purcell CDC: Gordon Mansergh, David Purcell NIDA: Jamie Biswas, Lynda Erinoff, Elizabeth Lambert, Jacques Normand, Steve Oversby NIDA: Jamie Biswas, Lynda Erinoff, Elizabeth Lambert, Jacques Normand, Steve Oversby
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