Risk factors associated with Hepatitis C among female substance users enrolled in community-based HIV prevention studies
- Diana Nurutdinova†1, 3Email author,
- Arbi B Abdallah†2,
- Susan Bradford†2,
- Catina C O'Leary†2 and
- Linda B Cottler†2
© Nurutdinova et al; licensee BioMed Central Ltd. 2011
Received: 16 August 2010
Accepted: 14 April 2011
Published: 14 April 2011
Hepatitis C virus (HCV) infection is one of the most frequent chronic blood-borne infections in the United States. The epidemiology of HCV transmission is not completely understood, particularly in women and minorities.
We examined the HCV associated risk factors in substance abusing females involved in National Institute on Alcohol Abuse and Alcoholism (NIAAA) and National Institute on Drug Abuse (NIDA) funded HIV prevention studies of street recruited women. As a part of the 12 month follow-up, participants were interviewed about substance use and sexual risk behaviors, including drug implement sharing practices, tattoos, body piercing and blood transfusions and the sharing of personal hygiene equipment including tweezers, toothbrushes and razors. Urine and blood testing for HCV antibody (Ab), HIV and sexually transmitted diseases (STDs) was conducted at the time of assessment.
Among 782 predominantly African American women, 162 (21%) tested positive for HCV Ab. Older age (p < 0.001), history of injection drug use (p < 0.001), lifetime crack cocaine use (p = 0.004) and having a tattoo (p = 0.01) were significantly associated with HCV Ab positivity. Other risk factors previously reported in association with HCV Ab positivity such as sexual risk behaviors were not significantly associated with the presence of a positive HCV Ab.
This large community based sample of predominantly African American substance abusing women showed high prevalence of HCV Ab positivity and low awareness of their HCV serostatus. Our study demonstrated that in addition to intravenous drug use (IDU), other factors were significantly associated with HCV Ab positivity such as having a tattoo and a lifetime history of crack use. Other potential routes of HCV transmission should be further studied among high risk female populations.
Hepatitis C virus (HCV) infection is one of the most frequent chronic blood-borne infections in the United States, causing significant morbidity and mortality. An estimated 4500 in-hospital deaths per year are related to the HCV infection and associated liver disease in the United States . Based on the most recent data from the National Health and Nutrition Examination Survey III (NHANES III) cohort, the general population prevalence of HCV antibody (Ab) is 1.6% with 1.3% or 3.2 million persons chronically infected with HCV . Due to its chronic nature, HCV infection often leads to an end-stage liver disease that may subsequently require liver transplantation. HCV infection is the most common indication for liver transplantation in the US; between 15 and 50% of liver transplantations are performed due to HCV infection .
HCV was originally documented as a non-A non-B virus causing transfusion related hepatitis . HCV is frequently spread through parenteral exposure and has been commonly associated with intravenous drug use (IDU). Introduction of universal blood screening in the US in 1990 led to a significant decrease in the risk of transfusion associated HCV infection .
The prevalence of HCV infection varies depending on age, race and certain risk factors. Previous epidemiologic studies have shown that there is a higher prevalence of HCV in African Americans, for reasons that are not clearly identified [6–9]. Prevalence of HCV among females is lower compared to males regardless of race , though HCV among females has been most extensively studied in the setting of HIV coinfection focused on the risk of vertical transmission. Among the risk factors associated with the HCV infection, drug injection remains a predominant route of transmission. Among IDU's, HCV prevalence ranges from 60-90% and carries a high morbidity burden .
Sexual transmission of the HCV is possible but much less efficient as compared to hepatitis B virus or HIV . The risk of sexual transmission of HCV appears to be increased in the presence of HIV [13, 14]. Vertical transmission occurs in an estimated 6-7% in the presence of viremia . Routes of transmission other than IDU have been proposed and include tattoos, body piercings, shared drug preparation equipment and shared personal hygiene items [16–18]. The prevalence of HCV infection is higher in non-injection drug users than in the general public [19, 20]; intranasal cocaine use and sharing of drug-use equipment has been associated with risk of HCV infection . Additional virologic data confirming presence of HCV in nasal secretions supports this association .
A limited number of epidemiological studies have comprehensively examined the risk factors associated with HCV in women, particularly in underrepresented female populations. We examined HCV associated risk factors in a sample of substance abusing predominantly African American females involved in two HIV prevention studies conducted by the Epidemiology and Prevention Research Group (EPRG) at Washington University School of Medicine.
Sample and Study Description
The data are derived from the two NIH funded HIV prevention studies, focused on providing community based interventions in St Louis, Missouri: Women Teaching Women (WTW, n = 501), funded by NIDA, and the NIAAA funded Sister To Sister (STS, n = 348) conducted between 1998 and 2004.
Women for both studies were recruited by Community Health Outreach Workers (CHOWS) via street outreach [23, 24]. The targeted sampling plan identified areas for recruitment based on the rates of HIV, drug use and sex trading reported from both community surveillance and law enforcement task force reports. Both projects were conducted at a satellite office located in the outreach area, established in 1989 and sustained with NIH funding [24, 25].
Women were considered eligible if they were 18 years or older, sexually active in the 12 months prior to entering the study, and did not undergo either alcohol or substance abuse treatment 30 days prior to the study enrollment. WTW enrolled women who tested positive for cocaine, amphetamines or opiates by urine drug screening and/or had fresh "track marks", indicative of current intravenous drug use. STS targeted female heavy or problem alcohol drinkers who did not test positive for any substance by urine drug screening. Problem or heavy alcohol use was determined by a score of four or greater on the Alcohol Use Disorders Identification Test (AUDIT), a 10-item questionnaire assessing heavy alcohol consumption .
Structured interviews were conducted by trained non-clinician interviewers. The baseline assessments included a Washington University Risk Behavior Assessment for Women (WU-RBA-W), Substance Abuse Module (SAM), and a Diagnostic Interview Schedule (DIS) Version IV . The WU-RBA-W was modeled after the NIDA Cooperative Agreement RBA that has an established test-retest reliability and validity [28, 29]; it was specifically tailored to assess risky sexual and other behaviors among women. The SAM is a structured interview developed as an expanded version of WHO CIDI  that covers substance use, use and dependence on 11 drug categories, alcohol and tobacco . The DIS assessed DSM IV lifetime and current psychiatric disorders (depression, conduct disorder, antisocial personality disorder, post traumatic stress disorder and pathological gambling).
In addition to interviews at baseline each woman met with the Peer Facilitator to receive the NIDA HIV pre and post-test counseling , a blood draw for hepatitis C antibody (HCV Ab), HIV antibody, Rapid plasma reagin (RPR) syphilis test, and urine testing for Gonorrhea and Chlamydia. Participants were then randomized into the intervention groups. In addition to the standard HIV intervention (HIV pre and post test counseling), approximately half of the women were assigned to a Well Woman examination, with and without four peer delivered sessions. Further details of the intervention in both STS and WTW have been presented elsewhere .
Participants were followed up at 4- and 12- months post intervention with repeat assessments including the WU-RBA-W with a trailer containing additional questions on sharing drug use equipment, tattoos, body piercings and blood transfusions, the SAM and DIS. Repeat laboratory testing for HCV Ab, HIV, RPR, Chlamydia and Gonorrhea was performed at the 12-month follow-up.
The data reported in this paper are from the combined STS/WTW sample collected at the 12-month follow-up, as it contained more detailed information on risk factors traditionally associated with blood-borne infections such as HCV than the baseline and 4-month interviews. Participants were consented to join the studies; all procedures were approved by the Washington University Human Research Protection Office (HRPO, study numbers 97-0438 and 98-0374), and were compliant with federal Health Insurance Portability and Accountability Act (HIPAA) regulations; confidentiality was further assured NIH Certificates of Confidentiality (NIDA and NIAAA).
Blood samples obtained at the baseline and 12-month follow-up were tested for HIV, HCV and syphilis. Antibodies to HCV (HCV Ab) were detected with a third-generation enzyme immunoassay (EIA-2.0; Abbott Laboratories, Abbott Park, IL). Further confirmatory assay was not performed because HCV Ab testing by EIA had a high positive predictive value in this high risk population. HIV testing was conducted with enzyme immunoassay and confirmed by Western Blot. Blood samples were also tested for syphilis and urine specimens were collected for chlamydia and gonorrhea testing.
Samples of the STS and WTW studies were combined for the statistical analyses because women were recruited in the same high risk areas and during overlapping periods. HIV positive participants were not randomized in either study and were therefore excluded from the sample (n = 19). Participants who did not complete all baseline assessments or did not have HCV Ab results were also excluded from this sample (n = 88), resulting in a total sample of 816 women (STS: n = 348; WTW: n = 501) for baseline and 782 women for the follow-up. In addition, there were 4 incident HCV Ab positive test results at follow-up testing that were excluded from the analysis.
The women were analyzed based on their HCV Ab status using composite variables with regards to the following categories: demographics, lifetime substance use and reported risky behaviors. Variables were then tested for association with HCV Ab positivity using the SAS ordered logistic regression procedure; odds ratios (OR) and 95% confidence intervals (CI) were calculated in four consecutive models. Variables found to be significantly related to HCV Ab positivity in initial model were included in the next model; each subsequent model contained variables significant from the previous model. This approach was chosen to avoid co-linearity of the variables and complex interactions in the models. SAS® statistical package release 9.1 (SAS Institute, Inc. 1999) was used for bivariate (chi-square) analyses of the association between the dependent variable of HCV Ab status and each of the socio-demographic and independent categorical variables. Mean values were compared using t-tests. All tests were two tailed with a significance level defined as p < 0.05.
Using street outreach techniques, more than 5500 women in the target recruitment area were approached by CHOWS about participation in the studies. Further eligibility screening yielded 935 women; of those, 816 women were interviewed at baseline and 782 presented for the 12-month follow-up assessments and had HCV Ab test results available (96% follow-up rate).
At baseline, 173 out of 816 women tested positive for HCV Ab for a prevalence of 21.2% with similar rate at the 12-month follow-up (n = 162, 20.7%). However, at baseline only 70 women (40%) recalled that they were previously told by a health care provider that they had had "viral hepatitis", meaning that the majority of women were not previously tested and learned about their positive HCV Ab test for the first time through the study.
Sociodemographic characteristics at baseline and follow-up assessments
N = 816 (%)
N = 782 (%)
12 Month Follow-up
N = 782 (%)
HCV Ab (-)
N = 620
HCV Ab (+)
N = 162
Mean Age, years (±SD)
35.8 ± 9.0
37.2 ± 9.0
35.9 ± 8.9
42.3 ± 7.0
37 years or older
Non African American
More than one child
Less than high school
History of arrest (ever arrested)
Did not work in past 12 months
Considered themselves homeless
Substance Use and Sexual Behaviour
Substance use and risky behaviours reported at follow-up assessment
N = 620 (%)
N = 162 (%)
Reused cooker/cotton/rinse water*
Gotten needles from friends/pharmacy*
Lifetime crack cocaine use
Reuse straight shooter/crack pipe belonging to othersa
Ever got lesions/burns on lips from smoking cracka
Injection Drug Use
Mean number of drugs used (±SD)
2.1 ± 1.5
3.3 ± 2.2
Drug Treatment Program
More than 7 drinks over past week
Attended AA meetings
Past history of STD
Sexual History in Past 4 mo
Mean number of sex partners (±SD)
3.4 ± 9.8
4.5 ± 12.3
Always used condom
Sex under influence of alcohol/drugs
Traded sex for drugs, money and other things
Potential Risk Factors
Number of times shared tweezers/nail clippers (±SD)
21.1 ± 36.0
24.6 ± 37.9
Number of times used toothbrush of other person (±SD)
1.21 ± 7.41
0.8 ± 2.8
Ever gotten a tattoo
Ever gotten a body piercing
Ever received a blood transfusion
Women recruited in these studies were sexually active with a mean of 3 - 4 sex partners in the preceding 4 months. Despite reporting several new sex partners in the past 4 months, condom use was low (19%) regardless of HCV Ab status. Both groups reported frequent use of alcohol or drugs before or during their sexual encounters; HCV Ab positive women compared to HCV Ab negative women were more likely to be involved in trading sex for drugs, money and other things. More than 60% of women in both groups reported history of a sexually transmitted disease.
Among other risk factors commonly associated with blood borne infections, both having a tattoo and having had a blood transfusion were found to be significantly associated with HCV Ab positivity in the bivariate analysis. No differences were observed in relationship to body piercings or sharing of personal hygiene equipment.
Odds ratios for HCV Ab positivity
Have >1 kids
Worked in past 12 months
Considered being homeless
Older (37+ years)
High school education and more
Ever been arrested
Number of drugs
Attended AA meetings
Previous history of STD
Sex under influence
Number of sex partners in past 4 months
Always used condom in past 4 months
Ever gotten a tattoo
Lifetime crack cocaine use
Ever received blood transfusion
Subgroup analyses of risk factors among non-injectors
Reported Behaviors among Non-injectors
HCV Ab neg
N = 578
HCV Ab pos
N = 50
Ever received a blood transfusion
Ever gotten a tattoo
Reused crack pipe belonging to others
Ever got lesions/burns on lips from smoking cracka
Lifetime crack cocaine use
Sex under influence of alcohol/drugs
Traded sex for drugs, money and other things
Compared to the general population, a substantially higher prevalence of HCV Ab positivity in this large community based sample of predominately African American substance abusing females was a key finding. Nearly two thirds of women with HCV antibodies were not aware of their viral hepatitis status; this is particularly concerning given the chronic nature of HCV infection and implies lack of awareness among health care providers and existing barriers to HCV screening in this population.
Past or present injection drug use in these studies was strongly associated with HCV Ab positivity as shown in previous reports [18, 34, 35]. Although among the HCV Ab positive subjects almost 70% had a history of IDU, 30% reported no IDU despite several questions on injection drug use in three different portions of the structured assessments.
In addition to injection drug use, having a tattoo and history of crack cocaine use were independently associated with HCV Ab positivity after controlling for IDU. Both crack cocaine use and tattoos have been identified as independent risk factors for HCV acquisition in previous reports, especially non-injection drug implement sharing practices [17, 20, 21, 36, 37]; however, urban folklore also indicates that a tattoo is a proxy marker for injection drug use and other risk factors. Our study did not assess further details regarding the type or design, or where the tattoos were received; although some reports suggest these factors may play a role in HCV acquisition [38, 39].
In a subgroup analysis of this community sample of non-injecting HCV Ab positive females, a number of high risk behaviors (high prevalence of crack cocaine use accompanied by drug implement sharing) as well as high risk sexual behaviors (sex under influence and trading sex) was significantly higher among the HCV Ab positive IDU’s As noted, these risky behaviors have been associated HCV Ab positivity in non-injecting populations [40–42].
There is mounting evidence regarding the increased risk of HCV among non-IDU's suggesting routes of administration and drug implement sharing practices may serve as an alternative HCV transmission pathway. Data regarding the risk of HCV transmission remains conflicting mainly due to limited amounts of research specifically devoted to these HCV associated risks in non-IDU populations and small sample sizes. Since non-injection cocaine related risk was originally reported by C. Conry-Cantilena, et al.  and attributed to sharing straws while using cocaine intranasally, it has been a subject of discussion . Some investigators were not able to confirm the independent association of intranasal cocaine use and risk of hepatitis C, although their findings highlight other potential iatrogenic sources of the infection [44, 45]. Several studies have shown higher rates of HCV Ab positivity in non-injection drug users although subject recruitment may have introduced a selection bias. For example, a study by Koblin et al.  aimed to recruit non-injection drug users, including non-injection heroin users, who could have been former injection drug users . Rosenblum et al.  examined a non IDU population based on having a history of less than 5 lifetime injection episodes, although it is evident that even a single injection exposure could theoretically be sufficient for HCV transmission. Studies by Tortu and colleagues [20, 21] that validated self reported drug use, with methodology similar to that utilized in the STS/WTW studies, found high rates of HCV among self reported non-injection drug users. Extensive data obtained on drug implement sharing practices suggested that such practices might be a risk factor for HCV transmission . Furthermore, Tortu et al. have suggested that intranasal cocaine use could serve as an indirect determinant for other substance use practices leading to HCV transmission, like injection drug use or injection practices that are not typically perceived as IDU (such as skin popping) .
Other potential routes of transmission among women in our study, such as tattooing, were significantly associated with HCV Ab status. Non commercial tattooing has been implicated as a significant risk factor in HCV transmission and deserves more detailed prospective investigation . Similarly to other investigators, we did not find an association with hygiene measures, such as sharing toothbrushes or nail clippers, suggested as potential HCV transmission risk factors [17, 48].
In our study HCV Ab positivity was not strongly associated with high risk sexual behaviors. Other studies have found that sexual transmission of HCV is associated with high risk sexual practices, including having an IDU sexual partner. To date, the role of sexual behaviors as a risk factor for HCV transmission remains controversial mainly due to the complex determination of the magnitude of the transmission risk which may vary significantly depending on a specific population being studied [49, 13, 38]. Besides, studies examining HCV transmission seem to frequently involve HIV co-infected women that appear to have a higher HCV Ab prevalence independent of other risk factors .
Although our study was not designed specifically for exploring the epidemiology of hepatitis C, it focused on the risk factors associated with HIV that share common routes of transmission with HCV. As a result, these data provided us with very detailed information concerning potential risk factors associated with the transmission of HCV. One of the limitations of this paper is that the data is cross-sectional and, as a result, we are unable to establish the timing of the HCV infection. These two studies were not specifically designed to examine the epidemiology of HCV infection but rather to determine a baseline prevalence of blood-borne infections and to evaluate the HIV intervention techniques.
Another shortcoming of the study design is that a single ELISA testing for HCV infection was utilized. Despite a high HCV risk profile in this population, a small fraction of false positive ELISA results is possible, although this possibility is unlikely to significantly affect the results of our analyses.
Self-reported drug use is another shortcoming of this study which could result in underestimated contribution of IDU to the risk of HCV infection in this population. In order to avoid that, participants were asked about injection drug use several times during the course of the interview and examined for the presence of injection track marks. Majority of studies evaluating epidemiological risk factors have to utilize self-reported measures, the reliability of which have been studied. The two studies primarily targeted hard to reach populations, which are traditionally challenging to recruit and therefore rarely evaluated in a clinical research setting; as a result some respondents were not located or opted to not participate in either of the studies. Nevertheless we feel that the large sample of respondents recruited is representative of the targeted population.
This study highlights the prevalence of risk factors common for several major blood borne infections in at risk difficult to reach female populations that is commonly understudied and underreported in literature. Our findings strongly support previous epidemiologic studies showing that injection drug use is a major factor contributing to HCV Ab positivity in this large community sample of predominantly African American substance abusing women. Another revealing finding was lack of awareness of HCV Ab status among the study participants. The fact that the majority of women were not aware of their HCV Ab status has significant implications both from the clinical and public health perspective. Programs targeting high risk female populations are needed in order to improve HCV testing and counseling, develop strategies overcoming barriers to care and ensure referrals to comprehensive treatment models that incorporate addressing substance use. Interestingly, our study demonstrated that factors other than IDU were significantly associated with HCV Ab positivity such as having a tattoo and a lifetime history of crack use without injection use. Other potential routes of HCV transmission should be further investigated in large-scale prospective studies particularly among high risk female populations.
This study was supported by grants from NIAAA (AA12111) for Sister to Sister Project and NIDA (DA 11622) for Women Teaching Women.
- Kim WR: The burden of hepatitis C in the United States. Hepatology. 2002, 36: S30-S34. 10.1002/hep.1840360705.PubMedView ArticleGoogle Scholar
- Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ: The prevalence of Hepatitis C virus infection in the United States 1999 through 2002. Ann Int Med. 2006, 144: 705-714.PubMedView ArticleGoogle Scholar
- Berenguer M, Lopez-Labrador FX, Wright TL: Hepatitis C and liver transplantation. J Hepatol. 2001, 35: 666-678. 10.1016/S0168-8278(01)00179-9.PubMedView ArticleGoogle Scholar
- Choo QL, Kuo G, Weiner AJ, Overby LR, Bradley DW, Houghton M: Isolation of A Cdna Clone Derived from A Blood-Borne Non-A, Non-B Viral-Hepatitis Genome. Science. 1989, 244: 359-362. 10.1126/science.2523562.PubMedView ArticleGoogle Scholar
- Global surveillance and control of hepatitis C. Report of a WHO Consultation organized in collaboration with the Viral Hepatitis Prevention Board, Antwerp, Belgium. J Viral Hepat. 1999, 6: 35-47. 10.1046/j.1365-2893.1999.6120139.x.Google Scholar
- Rawls RA, Vega KJ: Viral hepatitis in minority America. J Clin Gastroenterol. 2005, 39: 144-151.PubMedGoogle Scholar
- Wiley TE, Brown J, Chen J: Hepatitis C infection in African Americans: its natural history and histological progression. Am J Gastroenterol. 2006, 97: 700-706. 10.1111/j.1572-0241.2002.05555.x.View ArticleGoogle Scholar
- Howell C, Jeffers L, Hoofnagle SJ: Hepatitis C in African Americans: Summary of a Workshop. Gastroenterology. 2000, 119: 1385-1396. 10.1053/gast.2000.19582.PubMedView ArticleGoogle Scholar
- Hood R, Berthaud V, Brooks DA: Viral Hepatitis Consensus Panel 2003. Promoting prevention of viral hepatitis in the African American community. J Natl Med Assoc. 2003, 95: 49S-56S.Google Scholar
- Alter MJ, Kruszon-Moran D, Nainan OV: The prevalence of hepatitis C virus infection in the United States, 1988 through 1994. N Engl J Med. 1999, 341: 556-562. 10.1056/NEJM199908193410802.PubMedView ArticleGoogle Scholar
- Sulkowski MS, Thomas DL: Epidemiology and natural history of hepatitis C virus infection in injection drug users: Implications for treatment. Clin Inf Dis. 2005, 40: S263-S269. 10.1086/427440.View ArticleGoogle Scholar
- Taketa K, Ikeda S, Suganuma N: Differential seroprevalences of hepatitis C virus, hepatitis B virus and human immunodeficiency virus among intravenous drug users, commercial sex workers and patients with sexually transmitted diseases in Chiang Mai, Thailand. Hepatol Res. 2003, 27: 6-12. 10.1016/S1386-6346(03)00163-3.PubMedView ArticleGoogle Scholar
- Terrault NA: Sexual activity as a risk factor for hepatitis C. Hepatology. 2002, 36: S99-S105. 10.1002/hep.1840360713.PubMedView ArticleGoogle Scholar
- Feldman JG, Minkoff H, Landesman S, Dehovitz J: Heterosexual transmission of hepatitis C, hepatitis B, and HIV-1 in a sample of inner city women. Sex Transm Dis. 2000, 27 (6): 338-342. 10.1097/00007435-200007000-00007.PubMedView ArticleGoogle Scholar
- Gibb DM, Goodall RL, Dunn DT: Mother-to-child transmission of hepatitis C virus: evidence for preventable peripartum transmission. Lancet. 2000, 356: 904-907. 10.1016/S0140-6736(00)02681-7.PubMedView ArticleGoogle Scholar
- Hagan H, Thiede H, Weiss NS, Hopkins SG, Duchin JS, Alexander ER: Sharing of drug preparation equipment as a risk factor for hepatitis C. Am J Public Health. 2001, 91: 42-46. 10.2105/AJPH.91.9.1350.PubMedPubMed CentralView ArticleGoogle Scholar
- Howe CJ, Fuller CM, Ompad DC: Association of sex, hygiene and drug equipment sharing with hepatitis C virus infection among non-injecting drug users in New York City. Drug Alcohol Depend. 2005, 79: 389-395. 10.1016/j.drugalcdep.2005.03.004.PubMedView ArticleGoogle Scholar
- Conry-Cantilena C, VanRaden M, Gibble J: Routes of infection, viremia, and liver disease in blood donors found to have hepatitis C virus infection. N Engl J Med. 1996, 334: 1691-1696. 10.1056/NEJM199606273342602.PubMedView ArticleGoogle Scholar
- Koblin BA, Factor SH, Wu YF, Vlahov D: Hepatitis C virus infection among noninjecting drug users in New York City. J Med Virol. 2003, 70: 387-390. 10.1002/jmv.10407.PubMedView ArticleGoogle Scholar
- Tortu S, Neaigus A, McMahon J, Hagen D: Hepatitis C among noninjecting drug users: A report. Subst Use Misuse. 2001, 36: 523-534. 10.1081/JA-100102640.PubMedView ArticleGoogle Scholar
- Tortu S, McMahon JM, Pouget ER, Hamid R: Sharing of noninjection drug-use implements as a risk factor for hepatitis C. Subst Use Misuse. 2004, 39: 211-224. 10.1081/JA-120028488.PubMedView ArticleGoogle Scholar
- McMahon JM, Simm M, Milano D, Clatts M: Detection of hepatitis C virus in the nasal secretions of an intranasal drug-user. Ann Clin Microbiol Antimicrob. 2004, 3: 6-10.1186/1476-0711-3-6.PubMedPubMed CentralView ArticleGoogle Scholar
- Cunningham-Williams RM, Cottler LB, Compton WM: Reaching and enrolling drug users for HIV prevention: a multi-site analysis. Drug Alcohol Depend. 1999, 54: 1-10. 10.1016/S0376-8716(98)00149-5.PubMedView ArticleGoogle Scholar
- Cunningham RM, Cottler LB, Compton WM: Are we reaching and enrolling at-risk drug users for prevention studies?. J Drug Issues. 1996, 26: 541-560.View ArticleGoogle Scholar
- Cottler LB, Compton WM, Ben Abdallah A, Horne M, Claverie D: Achieving a 96.6 percent follow-up rate in a longitudinal study of drug abusers. Drug Alcohol Depend. 1996, 41: 209-217. 10.1016/0376-8716(96)01254-9.PubMedView ArticleGoogle Scholar
- Bohn MJ, Babor RG, Kranzler H: The Alcohol Use Disorders Identification Test (AUDIT): validation of a screening instrument for use in medical settings. J Studies Alcohol. 1995, 56: 423-432.View ArticleGoogle Scholar
- Robins LN, Cottler LB, Bucholz KK, Compton WM: The Diagnostic Interview Schedule. 1996, Version 4.0 (DIS 4.0)Google Scholar
- Needle R, Fisher DG, Weatherby N: Reliability of Self-Reported HIV Risk Behaviors of Drug-Users. Psychol Addict Behav. 1995, 9: 242-250. 10.1037/0893-164X.9.4.242.View ArticleGoogle Scholar
- Weatherby NL, Needle R, Cesari H: Validity of Self-Reported Drug-Use Among Injection-Drug Users and Crack Cocaine Users Recruited Through Street Outreach. Eval Program Plann. 1994, 17: 347-355. 10.1016/0149-7189(94)90035-3.View ArticleGoogle Scholar
- Cottler LB, Robins LN, Helzer JE: The reliability of the CIDI-SAM: a comprehensive substance abuse interview. Br J Addict. 1989, 84: 801-814. 10.1111/j.1360-0443.1989.tb03060.x.PubMedView ArticleGoogle Scholar
- Horton J, Compton W, Cottler LB: Reliability of substance use disorder diagnoses among African-Americans and Caucasians. Drug Alcohol Depend. 2000, 57: 203-209. 10.1016/S0376-8716(99)00050-2.PubMedView ArticleGoogle Scholar
- Wechsberg WM, MacDonald BR, Dennis ML: The standard intervention for reduction in HIV risk behavior: Protocol changes suggested by the continuing HIV/AIDS epidemic. 1997, Bloomington, IL: Chestnut Health SystemsGoogle Scholar
- Cunningham-Williams RM, Abdallah AB, Callahan C, Cottler L: Problem gambling and violence among community-recruited female substance abusers. Psychol Addict Behav. 2007, 2: 239-243. 10.1037/0893-164X.21.2.239.View ArticleGoogle Scholar
- Villano SA, Vlahov D, Nelson KE, Lyles CM, Cohn S, Thomas DL: Incidence and risk factors for hepatitis C among injection drug users in Baltimore, Maryland. J Clin Microbiol. 1997, 35: 3274-3277.PubMedPubMed CentralGoogle Scholar
- Fuller CM, Ompad DC, Galea S, Wu Y, Koblin B, Vlahov D: Hepatitis C incidence--a comparison between injection and noninjection drug users in New York City. J Urban Health. 2004, 81: 20-24.PubMedPubMed CentralView ArticleGoogle Scholar
- Gyarmathy VA, Neaigus A, Miller M, Friedman SR, Des Jarlais DC: Risk Correlates of Prevalent HIV, Hepatitis B Virus, and Hepatitis C Virus Infections Among Noninjecting Heroin Users. J Acquir Immune Defic Syndr Hum Retrovirol. 2002, 30: 448-456.View ArticleGoogle Scholar
- Neaigus A, Gyarmathy VA, Zhao M, Miller M, Friedman SR, Des Jarlais DC: Sexual and other noninjection risks for HBV and HCV seroconversions among noninjecting heroin users. J Infect Dis. 2007, 195: 1052-1061. 10.1086/512081.PubMedView ArticleGoogle Scholar
- Nishioka Sde A, Gyorkos TW, Joseph L, Collet JP, Maclean JD: Tattooing and risk for transfusion-transmitted diseases: the role of the type, number and design of the tattoos, and the conditions in which they were performed. Epidemiol Infect. 2002, 128: 63-71.PubMedGoogle Scholar
- Haley RW, Fischer RP: The tattooing paradox: are studies of acute hepatitis adequate to identify routes of transmission of subclinical hepatitis C infection?. Arch Intern Med. 2003, 163: 1095-1098. 10.1001/archinte.163.9.1095.PubMedView ArticleGoogle Scholar
- Hershow RC, Kalish LA, Sha B, Till M, Cohen M: Hepatitis C virus infection in Chicago women with or at risk for HIV infection: evidence for sexual transmission. Sex Transm Dis. 1998, 25: 527-532. 10.1097/00007435-199811000-00006.PubMedView ArticleGoogle Scholar
- Scheinmann R, Hagan H, Lelutiu-Weinberger C: Non-injection drug use and Hepatitis C Virus: A systematic review. Drug and Alcohol Dependence. 2007, 89: 1-12. 10.1016/j.drugalcdep.2006.11.014.PubMedPubMed CentralView ArticleGoogle Scholar
- Nyamathi AM, Dixon EL, Robbins W: Risk factors for hepatitis C virus infection among homeless adults. J Gen Intern Med. 2002, 17: 134-143. 10.1046/j.1525-1497.2002.10415.x.PubMedPubMed CentralView ArticleGoogle Scholar
- Aaron S, McMahon JM, Milano D: Intranasal transmission of hepatitis C virus: virological and clinical evidence. Clin Infect Dis. 2008, 47: 931-934. 10.1086/591699.PubMedView ArticleGoogle Scholar
- Murphy EL, Bryzman SM, Glynn SA: Risk factors for hepatitis C virus infection in United States blood donors. NHLBI Retrovirus Epidemiology Donor Study (REDS). Hepatology. 2000, 31: 756-762. 10.1002/hep.510310329.PubMedView ArticleGoogle Scholar
- Galperim B, Cheinquer H, Stein A, Fonesca A, Lunge V, Ikuta N: Intranasal cocaine use does not appear to be an independent risk factor for HCV infection. Addiction. 2004, 99: 973-977. 10.1111/j.1360-0443.2004.00761.x.PubMedView ArticleGoogle Scholar
- Rosenblum A, Nuttbrock L, McQuistion HL, Magura S, Joseph H: Hepatitis C and substance use in a sample of homeless people in New York City. J Addict Dis. 2001, 20: 15-25. 10.1300/J069v20n04_03.PubMedView ArticleGoogle Scholar
- Haley RW, Fischer RPL: Commercial tattooing as a potentially important source of hepatitis C infection. Clinical epidemiology of 626 consecutive patients unaware of their hepatitis C serologic status. Medicine. 2001, 80: 134-151. 10.1097/00005792-200103000-00006.PubMedView ArticleGoogle Scholar
- Hand WL, Vasquez Y: Risk factors for hepatitis C on the Texas-Mexico border. Am J Gastroenterol. 2005, 10: 2180-2185. 10.1111/j.1572-0241.2005.00238.x.View ArticleGoogle Scholar
- Gross JB: Hepatitis C: a sexually transmitted disease?. Am J Gastroenterol. 2001, 96: 3051-3053. 10.1111/j.1572-0241.2001.05252.x.PubMedView ArticleGoogle Scholar
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