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![Page 1: Prescription Drug Abuse and the Emergence of Hepatitis C in Rural Appalachia Jennifer R. Havens, PhD, MPH Associate Professor Department of Behavioral.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697c0281a28abf838cd7071/html5/thumbnails/1.jpg)
Prescription Drug Abuse and the Emergence of Hepatitis C in Rural Appalachia
Jennifer R. Havens, PhD, MPHAssociate ProfessorDepartment of Behavioral Science
Center on Drug and Alcohol Research
University of Kentucky College of Medicine
![Page 2: Prescription Drug Abuse and the Emergence of Hepatitis C in Rural Appalachia Jennifer R. Havens, PhD, MPH Associate Professor Department of Behavioral.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697c0281a28abf838cd7071/html5/thumbnails/2.jpg)
Percent of Respondents Using Pain Relievers Nonmedically: 2001 – 2011
Source: National Survey on Drug Use and Health 2001 – 2011
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20110
1
2
3
4
5
6
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Past Year Illicit Drug Abuse/Dependence in Millions
Source: National Survey on Drug Use and Health 2002, 2011
Marijuana
Pain Relievers
Cocaine
Tranquilizers
Stimulants
Hallucinogens
Heroin
0 1 2 3 4 5
2011 2001
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Source: MMWR, May 6, 2011; 60(17): 537-541
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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 researchLittle known about trends in drug use in
rural Appalachia in particularEven 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 incidenceSocial 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 townParticipants recruited via Respondent
Driven Sampling (RDS)
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Hazard, KY
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Participant Characteristics N=503
n %
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
Baseline 6-Month 12-Month 18-Month 24-Month0
50
100
150
200
250
300
350
400
450
500
OxyContin (ER Oxycodone) Roxicodone (IR Oxycodone)
New Formulation Released – August
2010
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Emerging Trends in Prescription Drug Abuse
Neurontin (gabapentin)165% increase in abuse between 2013 and
20142950% increase in abuse between 2008
and 2014Participants reporting a mean of 25 days of
use in past 30More 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
6-Month 12-Month 18-Month 24-Month 30-Month0
2
4
6
8
10
12
14
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OST Uptake
6-Month 12-Month 18-Month 24-Month 30-Month0
1
2
3
4
5
6
7
8
9
10
MMT Buprenorphine
Per
cen
t o
f P
arti
cip
ants
En
roll
ing
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Proportion of Participants Injecting Drugs
Baseline 6-Month 12-Month 18-Month 24-Month0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
IDU HCV+
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Baseline Data – Drug Type for Injecting (n=394 Lifetime IDUs)
n %
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
<=25
26-30
31-40
41+
65 70 75 80 85 90
Final Baseline
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Baseline Prevalence – HIV, HCV, HSV-2
HIV HCV HSV-2 HCV/HSV-20
5
10
15
20
25
30
35
40
45
50
0 Cases
222 Cases
59 Cases
33 Cases
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HCV Prevalence by Age
<=25 26-30 31-40 41+0
10
20
30
40
50
60
70
Baseline Final
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Hepatitis C Seroconversion
Baseline
6-Months
12-Months
18-Months
24-Months
0 50 100 150 200 250 300 350
Cumulative Cases Incident Cases
N=45
N=10
N=8
N=19
N=222
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HCV Incidence for PWID
<25 25-29 30-34 35-44 45+0
5
10
15
20
25
Age Group
HC
V I
nci
den
ce p
er 1
00 P
Y
22.1 (15.7 – 30.4)
13.0(8.17 – 19.7)
16.5 (10.2 – 25.3)
8.76(4.98 – 14.3)
1.24(0.06 – 6.11)
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Drug Network
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Probability of Heroin Initiation
0 6 12 18 24 300
0.05
0.1
0.15
0.2
0.25
0.04
0.020.03
0.00
0.02
p(Hazard) 95% CI
Months in Study
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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 prevalentAdditional incident cases at each visitYoung PWID particularly at risk for
seroconversionHeroin use not prevalent
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Future Directions
Interventions Network based?
HCV treatment engagementHarm reduction
Syringe exchangeSubstance 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 LexingtonStudy Participants