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Prescription Drug Abuse and the Emergence of Hepatitis C in Rural Appalachia
Jennifer R. Havens, PhD, MPH Associate Professor Department of Behavioral Science Center on Drug and Alcohol Research University of Kentucky College of Medicine
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Percent of Respondents Using Pain Relievers Nonmedically: 2001 – 2011
Source: National Survey on Drug Use and Health 2001 – 2011
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Past Year Illicit Drug Abuse/Dependence in Millions
Source: National Survey on Drug Use and Health 2002, 2011
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Source: MMWR, May 6, 2011; 60(17):
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Injection Drug Use among Rural Drug Users
Previous research: IDU rare among rural drug users in Appalachian Kentucky (Leukefeld et al., Substance Use and Misuse, 1997) Recent research suggested a much higher prevalence of IDU among Appalachian drug users (>40%) (Havens et al., Drug and Alcohol Dependence, 2007).
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IDU among Appalachian Drug Users
Majority of rural IDUs reported injecting OxyContin® and other prescription drugs NOT designed for injection Fewer than 10% had ever injected heroin and/or cocaine Self-reported hepatitis C infection significantly higher among the IDUs versus non-IDUs (p<0.001) (Havens et al., Drug and Alcohol Dependence, 2007)
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Rural Substance Abuse – Mid-2000’s
Clear need for research Little known about trends in drug use in rural Appalachia in particular Even fewer empirical reports around injection drug use and other medical consequences of drug use Specifically, HIV, HCV and other STI’s
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Study Rationale Gaps in the literature in rural populations:
Injection drug use Infectious disease prevalence and incidence Social network and geospatial factors in disease transmission
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Social Networks among Appalachian People (SNAP) study
Purpose: determine prevalence and incidence of HCV, HIV and HSV-2 and other risk behaviors in relation to social network characteristics among rural prescription drug users Follow-up at 6-, 12-,18-, 24-, 30- and 36-months
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Participants 500 rural out-of-treatment injection and non-injection drug users recruited and followed at 6-, 12-, 18-, 24-, 30-, and 36-months post-baseline Recruitment began in November 2008 and was completed in August 2010 Storefront location in rural town Participants recruited via Respondent Driven Sampling (RDS)
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Hazard, KY
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Participant Characteristics N=503
% Male 286 56.7 Age, median (IQR) 31 (26 ,38) Caucasian 474 94.2 Employed Full-Time 173 34.4 Lifetime Injection Drug Use 394 78.3
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Effect of Change in OxyContin Formulation on Abuse
New Formulation Released – August 2010
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Emerging Trends in Prescription Drug Abuse
Neurontin (gabapentin) 165% increase in abuse between 2013 and 2014 2950% increase in abuse between 2008 and 2014 Participants reporting a mean of 25 days of use in past 30 More likely (p<0.05) to also be abusing IR oxycodone, buprenorphine and benzodiazepines Smith, Lofwall and Havens, Am J Psychiatry, 2015
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Proportion of Participants Accessing Substance Abuse Treatment
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OST Uptake
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Proportion of Participants Injecting Drugs
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Baseline Data – Drug Type for Injecting (n=394 Lifetime IDUs)
% Rx Opiates 348 88.3 Rx Stimulants 27 6.8 Rx Benzodiazepines 23 5.8 Methamphetamine 39 9.9 Cocaine 271 68.8 Heroin 95 24.1 Speedball (cocaine/OxyContin) 60 15.2
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Initiation to Injection by Age
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Baseline Prevalence – HIV, HCV, HSV-2
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HCV Prevalence by Age
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Hepatitis C Seroconversion
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HCV Incidence for PWID
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Drug Network
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Probability of Heroin Initiation
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Heroin Availability and Potential for Abuse
One in ten participants noted an increase in the availability of heroin since 2013 However, when asked if they would abuse it if regularly available, less than 4% indicated they would
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Conclusions HCV highly prevalent
Additional incident cases at each visit Young PWID particularly at risk for seroconversion Heroin use not prevalent
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Future Directions Interventions HCV treatment engagement
Network based? HCV treatment engagement Harm reduction Syringe exchange Substance abuse treatment HIV prevention
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Acknowledgements NIH/NIDA (R01-DA024598 and R01-DA033862)
Drs. Carl Leukefeld, Carrie Oser, Rick Crosby, Michelle Lofwall, Sharon Walsh (Co-Investigators) Study Staff – Hazard and Lexington Study Participants
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