Journal of Urban Health

, 85:826 | Cite as

Estimating the Prevalence of Injection Drug Use among Black and White Adults in Large U.S. Metropolitan Areas over Time (1992–2002): Estimation Methods and Prevalence Trends

  • Hannah L. F. Cooper
  • Joanne E. Brady
  • Samuel R. Friedman
  • Barbara Tempalski
  • Karla Gostnell
  • Peter L. Flom
Article

Abstract

No adequate data exist on patterns of injection drug use (IDU) prevalence over time within racial/ethnic groups in U.S. geographic areas. The absence of such prevalence data limits our understanding of the causes and consequences of IDU and hampers planning efforts for IDU-related interventions. Here, we (1) describe a method of estimating IDU prevalence among non-Hispanic Black and non-Hispanic White adult residents of 95 large U.S. metropolitan statistical areas (MSAs) annually over an 11-year period (1992–2002); (2) validate the resulting prevalence estimates; and (3) document temporal trends in these prevalence estimates. IDU prevalence estimates for Black adults were calculated in several steps: we (1) created estimates of the proportion of injectors who were Black in each MSA and year by analyzing databases documenting injectors’ encounters with the healthcare system; (2) multiplied the resulting proportions by previously calculated estimates of the total number of injectors in each MSA and year (Brady et al., 2008); (3) divided the result by the number of Black adults living in each MSA each year; and (4) validated the resulting estimates by correlating them cross-sectionally with theoretically related constructs (Black- and White-specific prevalences of drug-related mortality and of mortality from hepatitis C). We used parallel methods to estimate and validate White IDU prevalence. We analyzed trends in the resulting racial/ethnic-specific IDU prevalence estimates using measures of central tendency and hierarchical linear models (HLM). Black IDU prevalence declined from a median of 279 injectors per 10,000 adults in 1992 to 156 injectors per 10,000 adults in 2002. IDU prevalence for White adults remained relatively flat over time (median values ranged between 86 and 97 injectors per 10,000 adults). HLM analyses described similar trends and suggest that declines in Black IDU prevalence decelerated over time. Both sets of IDU estimates correlated cross-sectionally adequately with validators, suggesting that they have acceptable convergent validity (range for Black IDU prevalence validation: 0.27 < r < 0.61; range for White IDU prevalence: 0.38 < r < 0.80). These data give insight, for the first time, into IDU prevalence trends among Black adults and White adults in large U.S. MSAs. The decline seen here for Black adults may partially explain recent reductions in newly reported cases of IDU-related HIV evident in surveillance data on this population. Declining Black IDU prevalence may have been produced by (1) high AIDS-related mortality rates among Black injectors in the 1990s, rates lowered by the advent of HAART; (2) reduced IDU incidence among Black drug users; and/or (3) MSA-level social processes (e.g., diminishing residential segregation). The stability of IDU prevalence among White adults between 1992 and 2002 may be a function of lower AIDS-related mortality rates in this population; relative stability (and perhaps increases in some MSAs) in initiating IDU among White drug users; and social processes. Future research should investigate the extent to which these racial/ethnic-specific IDU prevalence trends (1) explain, and are explained by, recent trends in IDU-related health outcomes, and (2) are determined by MSA-level social processes.

Keywords

Injection drug use Race/ethnicity Metropolitan statistical areas Epidemiology 

Supplementary material

11524_2008_9304_MOESM1_ESM.pdf (558 kb)
Web Appendix Figure 1Median Percent of Injectors who are Black in 95 Large US Metropolitan Statistical Areas Over Time (1992-2002) as Estimated Using Each of Four Methods (The "Index" is the mean of the CTS-, TEDS-, & APIDS-based estimates). (PDF 560 KB)
11524_2008_9304_MOESM2_ESM.pdf (85 kb)
Web Appendix Figure 2Median Percent of Injectors Who Are White in 95 Large US Metropolitan Statistical Areas Over Time (1992-2002) As Estimated Using Four Methods (The "Index" is the average of the CTS-, TEDS-, & APIDS-based Estimates). (PDF 88 KB)
11524_2008_9304_MOESM3_ESM.pdf (68 kb)
Web Appendix Figure 3Median Number of Injection Drug Users Living in 95 Large US Metropolitan Statistical Areas Over Time (1992-2002), as published in Brady et al, 2008 (see article bibliography for full citation). (PDF 72 KB)
11524_2008_9304_MOESM4_ESM.pdf (558 kb)
Web Appendix Table 1Estimated Prevalence of Injection Drug Use per 10,000 Black Adult Residents of 95 Large US Metropolitan Statistical Areas (1992-2002) as Estimated Using the Index. (PDF 560 KB)
11524_2008_9304_MOESM5_ESM.pdf (116 kb)
Web Appendix Table 2Estimated Prevalence of Injection Drug Use per 10,000 White Adult Residents of 95 Large US Metropolitan Statistical Areas (1992-2002) as Estimated Using the Index. (PDF 120 KB)

References

  1. 1.
    Yang JC, Huang D, Hser Y-I. Long-term morbidity and mortality among a sample of cocaine-dependent black and white veterans. J Urban Health. 2006;83(5):926–940.PubMedGoogle Scholar
  2. 2.
    Galea S, Ahern J, Tardiff K, et al. Racial/ethnic disparities in overdose mortality trends in New York City, 1990–1998. J Urban Health. 2003;80(2):201–211.PubMedGoogle Scholar
  3. 3.
    Fernandez W, Hackman H, Mckeown L, Anderson T, Hume B. Trends in opioid-related fatal overdoses in Massachusetts, 1990–2003. J Subst Abuse Treatment. 2006;31:151–156.Google Scholar
  4. 4.
    Centers for Disease Control and Prevention. HIV counseling and testing at CDC-supported sites—United States, 1999–2004. Atlanta, GA: CDC; 2006.Google Scholar
  5. 5.
    Centers for Disease Control and Prevention. Cases of HIV infection and AIDS in the United States, by race/ethnicity, 2000–2004. HIV/AIDS surveillance supplemental report. Atlanta, GA: CDC; 2006.Google Scholar
  6. 6.
    Kendall J, Sherman M, Bigelow G. Psychiatric symptoms in polysubstance abusers: relationship to race, sex, and age. Addictive Behav. 1995;20:685–690.Google Scholar
  7. 7.
    Amaro H, Larson MJ, Gampel J, Richardson E, Savage A, Wagler D. Racial/ethnic differences in social vulnerability among women with co-occurring mental heath and substance abuse disorders: implications for treatment services. J Community Psychol. 2005;33(4):495–511.Google Scholar
  8. 8.
    Petry NM. A comparison of African American and non-Hispanic Caucasian cocaine-abusing outpatients. Drug and Alcohol Dependence. 2003;69(1):43–49.PubMedGoogle Scholar
  9. 9.
    Walton MA, Blow FC, Booth BA. Diversity in relapse prevention needs: gender and race comparisons among substance abuse treatment patients. Am J Drug Alcohol Abuse. 2001;27(2):225–240.PubMedGoogle Scholar
  10. 10.
    Roberts A. Psychiatric comorbidity in white and African-American illicit substance abusers: evidence for differential etiology. Clin Psychol Rev. 2000;20:667–677.PubMedGoogle Scholar
  11. 11.
    Dembo R, Williams L, Schmeidler J. Psychosocial, alcohol/other drug use, and delinquency differences between urban black and white male high risk youth. Int J Addict. 1994;29:461–483.PubMedGoogle Scholar
  12. 12.
    Ziedonis D, Rayford B, Bryant K, Rounsaville B. Psychiatric comorbidity in White and African-American cocaine addicts seeking substance abuse treatment. Hosp Community Psychiatry. 1994;45:43–49.PubMedGoogle Scholar
  13. 13.
    Fuller CM, Borrell L, Latkin CA, et al. Effects of race, neighborhood, and social network on age at initiation of injection drug use. Am J Public Health. 2005;95(4):689–695.PubMedGoogle Scholar
  14. 14.
    Wright D, Gfoerer J, Epstein J. The use of external data sources and ratio estimation to improve estimates of hardcore drug use from the NHSDA. NIDA Research Monograph. Vol 167. Rockville, MD: Office of Applied Studies, Substance Abuse and Mental Health Services Administration; 1997.Google Scholar
  15. 15.
    Wright D, Gfoerer J. Estimation of hardcore drug users. J Off Statistics. 1997;13:401–416.Google Scholar
  16. 16.
    Archibald CP, Jayaraman GC, Major C, Patrick DM, Houston SM, Sutherland D. Estimating the size of hard-to-reach populations: a novel method using HIV testing data compared to other methods. AIDS. 2001;15(Suppl 3):S41–S48.PubMedGoogle Scholar
  17. 17.
    Korf D, Reijneveld S, Toet J. Estimating the number of heroin users: a review of methods and empirical findings from the Netherlands. Int J Addict. 1994;29:1393–1417.PubMedGoogle Scholar
  18. 18.
    Substance Abuse and Mental Health Services Administration. Results from the 2005 National survey on drug use and health: national findings. Rockville, MD: SAMHSA; 2006.Google Scholar
  19. 19.
    Substance Abuse and Mental Health Services Administration, Office of Applied Studies. National Survey on Drug Use & Health Methodology Reports and Questionnaires; 2007.Google Scholar
  20. 20.
    US Department of Justice Office of Justice Programs Bureau of Justice Statistics. Additional Corrections Facts at a Glance: Demographic Trends in Correctionals Populations. http://www.ojp.usdoj.gov/bjs/gcorpop.htm#CorrPopRace. Accessed January 19, 2007.
  21. 21.
    US Department of Housing and Urban Development. Homelessness: Programs and the People They Serve. Washington, DC: Department of Housing and Urban Development; 1999.Google Scholar
  22. 22.
    Fendrich M, Johnson TP. Race/ethnicity differences in the validity of self-reported drug use: Results from a household survey. J Urban Health. 2005;82(Suppl 3):iii67–iii81.PubMedGoogle Scholar
  23. 23.
    Johnson T, Bowman P. Cross-cultural sources of measurement error in substance use surveys. Subst Use Misuse. 2003;38:1447–1490.PubMedGoogle Scholar
  24. 24.
    Cox S, Shipley M. Counting the uncatchable? An epidemiological method for counting drug misusers. Soc Psychiatry Psychiatr Epidemiol. 1997;32:19–23.PubMedGoogle Scholar
  25. 25.
    Hickman M, Cox S, Harvey J, et al. Estimating the prevalence of problem drug use in inner London: a discussion of three capture-recapture studies. Addict. 1999;94:1653–1662.Google Scholar
  26. 26.
    Larson A, Stevens A, Wardlaw G. Indirect estimates of ‘hidden’ populations: capture-recapture methods to estimate the numbers of heroin users in the Australian capital territory. Soc Sci Med. 1994;39(6):823–831.PubMedGoogle Scholar
  27. 27.
    Substance Abuse and Mental Health Administration. Treatment Episode Data Set (TEDS): SAMHSA; 2007.Google Scholar
  28. 28.
    US Department of Health and Human Services. AIDS Public Information Dataset (APID): US DHHS; 2007.Google Scholar
  29. 29.
    Centers for Disease Control and Prevention. HIV Counseling and Testing in Publicly Funded Sites: CDC; 2006.Google Scholar
  30. 30.
    Cooper HL, Friedman SR, Tempalski B, Friedman R, Keem M. Racial/ethnic disparities in injection drug use in large US metropolitan areas. Ann Epidemiol. 2005;15(5):326–334.PubMedGoogle Scholar
  31. 31.
    Galea S, Nandi A, Vlahov D. The social epidemiology of substance use. Epidemiol Rev. 2004;26:36–52.PubMedGoogle Scholar
  32. 32.
    Diez-Roux A. Investigating neighborhood and area effects on health. Am J Public Health. 2001;91:1783–1789.PubMedCrossRefGoogle Scholar
  33. 33.
    Berkman LF, Kawachi I. Social Epidemiology. New York: Oxford University Press; 2000.Google Scholar
  34. 34.
    Kawachi I, Berkman LF. Neighborhoods and Health. New York: Oxford University Press; 2003.Google Scholar
  35. 35.
    Nurco D, Shaffer J, Cisin I. An ecological analysis of the interrelationships among drug abuse and other indices of social pathology. Int J Addict. 1984;19:441–451.PubMedGoogle Scholar
  36. 36.
    Hunt L, Chambers C. The heroin epidemics: a study of heroin use in the United States, 1965–1975. New York: Spectrum; 1976.Google Scholar
  37. 37.
    Boardman JD, Finch B, Ellison C, Williams DR, Jackson JS. Neighborhood disadvantage, stress, and drug use among adults. J Health Soc Behav. 2001;42:151–165.PubMedGoogle Scholar
  38. 38.
    Friedman SR, Tempalski B, Cooper HL, Keem M, Friedman R, Flom PL. Structural factors to guide structural intervention: predictors of IDU population size, HIV Prevalence Among IDUs, and Prevention Program Coverage for IDUs. XV International AIDS Conference. Bangkok Thailand; 2004.Google Scholar
  39. 39.
    Deborah W, Wallace R. A plague on your houses. New York: Verso; 1998.Google Scholar
  40. 40.
    Lillie-Blanton M, Anthony J, Schuster C. Probing the meaning of racial/ethnic group comparison in crack cocaine smoking. JAMA. 1993;269(8):993–997.PubMedGoogle Scholar
  41. 41.
    Cooper HL, Friedman SR, Tempalski B, Friedman SR, Keem M. Residential segregation and the prevalence of injection drug use among Black adult residents of US metropolitan areas. Am J Public Health. 2007;97(2):344–352.PubMedGoogle Scholar
  42. 42.
    Office of Management and Budget. Standards for defining metropolitan and micropolitan statistical areas. Federal Register. 2000;65:8228–82238.Google Scholar
  43. 43.
    U.S. Bureau of the Census. State and metropolitan area data book, 1997–1998. Washington, DC: US Bureau of the Census; 1998.Google Scholar
  44. 44.
    Pierce T. Gen-X Junkie: Ethnographic research with young white heroin users in Washington, DC. Subst Use Misuse. 1999;34:2095–2114.PubMedGoogle Scholar
  45. 45.
    Wallace R, Wallace D. Socioeconomic determinants of health: community marginalisation and the diffusion of disease and disorder in the United States. BMJ. 1997;314:1341–1345.PubMedGoogle Scholar
  46. 46.
    Census USBot. Historical metropolitan area definitions. Washington, DC: US Bureau of the Census; 2005.Google Scholar
  47. 47.
    Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment Episode Data Set (TEDS). Highlights—2005. National admissions to substance abuse treatment services. Rockville, MD: SAMHSA; 2006.Google Scholar
  48. 48.
    Interuniversity Consortium for Political and Social Research (ICPSR). Treatment Episode Data Set (TEDS) Series: Summary. http://webapp.icpsr.umich.edu/cocoon/SAMHDA-SERIES/00056.xml. Accessed June 4, 2007.
  49. 49.
    Centers for Disease Control & Prevention, National Center for HIV S, and TB Prevention, Divisions of HIV/AIDS Prevention, Statistics & Data Management Branch. AIDS Public Information Data Set—Manual, Data Through December 2002. Rockville, MD: Centers for Disease Control & Prevention; 2005:51.Google Scholar
  50. 50.
    Klevens RM, Fleming PL, Li J, et al. The completeness, validity, and timeliness of AIDS surveillance data. Ann Epidemiol. 2001;11(7):443–449.PubMedGoogle Scholar
  51. 51.
    Centers for Disease Control and Prevention. CTS User's Guide, CTS Version 4.0. Rockville, MD: Centers for Disease Control and Prevention; 1999 March 1999.Google Scholar
  52. 52.
    US Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment Episode Data Set, 1992–2005 (Concatenated): Data Collection Description; 2007.Google Scholar
  53. 53.
    Cleveland W. Visualizing Data. Summitt, NJ: Hobart Press; 1993.Google Scholar
  54. 54.
    Wells K, Klap R, Koike A, Sherbourne C. Ethnic disparities in unmet need for alcoholism, drug abuse, and mental health care. Am J of Psychiatry. 2001;158:2027–2032.PubMedGoogle Scholar
  55. 55.
    Johnson DF, Sorvillo FJ, Wohl AR, et al. Frequent failed early HIV detection in a high prevalence area: implications for prevention. AIDS Patient Care. 2003;17(6):277–282.Google Scholar
  56. 56.
    Metzger D, Navaline H. Human immunodeficiency virus prevention and the potential of drug abuse treatment. Clin Infect Dis. 2003;37:S451–S456.PubMedGoogle Scholar
  57. 57.
    Hoffman J, Klein H, Clark D, Boyd F. The effect of entering drug treatment on involvement in HIV-related risk behaviors. Am J Drug Alcohol Abuse. 1998;24:259–284.PubMedGoogle Scholar
  58. 58.
    Hartel D, Schoenbaum E. Methadone treatment protects against HIV infection: two decades of experience in the Bronx, New York City. Public Health Rep. 1998;113:105–115.Google Scholar
  59. 59.
    Janssen R, Holtgrave D, Valdisseri R, Shepherd M, Gayle H, De Cok K. The serostatus approach to fighting the HIV epidemic: preventive strategies for infected individuals. Am J Public Health. 2001;91:1019–1024.PubMedGoogle Scholar
  60. 60.
    Centers for Disease Control and Prevention. Cases of HIV infection and AIDS in the United States, by Race/Ethnicity, 1998–2002. Atlanta, Georgia: Centers for disease control and prevention; 2004.Google Scholar
  61. 61.
    Durant T, McDavid K, Hu X, Sullivan P, Janssen R, Fenton K. Racial/ethnic disparities in diagnoses of HIV/AIDS—33 States, 2001–2005. MMWR. 2007;56(9):189–193.Google Scholar
  62. 62.
    Cohen M, Cook J, Young M, et al. Medically eligible women who do not use HAART: the importance of abuse, drug use, and race. Am J Public Health. 2004;94(7):1147–1151.PubMedGoogle Scholar
  63. 63.
    Fleishman JA, Hellinger FH. Recent trends in HIV-related inpatient admissions 1996–2000: a 7-state study. JAIDS. 2003;34(1):102–110.PubMedGoogle Scholar
  64. 64.
    Anderson RN, Bozzette S, Shapiro M, et al. Access of vulnerable groups to antiretroviral therapy among persons in care for HIV disease in the United States. HSR: Health Serv Res. 2000;35(2):389–416.Google Scholar
  65. 65.
    Ghani A, Donnelly C, Anderson R. Patterns of antiretroviral use in the United States of America: analysis of three observational databases. HIV Med. 2003;4:24–32.PubMedGoogle Scholar
  66. 66.
    Frischer M, Hickman M, Kraus L, Nariani F, Wiessing L. A comparison of different methods for estimating prevalence of problematic drug misuse in Great Britain. Addict. 2001;96:1465–1476.Google Scholar
  67. 67.
    Hickman M, Hope V, Platt L. Estimating the prevalence of injecting drug use: a comparison of multiplier and capture-recapture methods in cities in England and Russia. Drug Alcohol Rev. 2006;25:131–140.PubMedGoogle Scholar
  68. 68.
    Brady JE, Friedman SR, Cooper HLF, Flom PL, Tempalski B, Gostnell K. Estimating the prevalence of injection drug users in the U.S. and in large U.S. Metropolitan areas from 1992 to 2002. J Urban Health. 2008;8(3):323–351.Google Scholar
  69. 69.
    Friedman SR, Tempalski B, Cooper HL, et al. Estimating numbers of injecting drug users in metropolitan areas for structural analyses of community vulnerability and for assessing relative degrees of service provision for injecting drug users. J Urban Health. 2004;81(3):377–400.PubMedGoogle Scholar
  70. 70.
    Holmberg S. The estimated prevalence and incidence of HIV in 96 large US metropolitan areas. Am J Public Health. 1996;86(5):642–654.PubMedGoogle Scholar
  71. 71.
    Census USBot. Population Estimates Program Dataset: U.S. Bureau of the Census; 2007.Google Scholar
  72. 72.
    U.S. Bureau of the Census, Population Division. Estimates and projections area methodology county population estimates by age, sex, race, and hispanic origin for July 1, 2005. Washington, DC: US Bureau of the Census; 2006.Google Scholar
  73. 73.
    US Bureau of the Census. Estimates And Projections Area Methodology County Population Estimates By Age, Sex, Race, And Hispanic Origin For July 1, 2005. http://www.census.gov/popest/topics/methodology/2005_co_char_meth.html. Accessed May 31, 2007.
  74. 74.
    National Institutes of Health, Hepatitis C Virus Concensus Development Panel. Management of Hepatitis C: 2002. Washington, DC: National Institute of Health; 2002.Google Scholar
  75. 75.
    U.S. Dept. of Health and Human Services, National Center for Health Statistics. Multiple Cause of Death File, 1992–2002 [Computer file]: U.S. Dept. of Health and Human Services, National Center for Health Statistics; 2004.Google Scholar
  76. 76.
    European Monitoring Centre for Drugs and Drug Addiction. EMCDDA Statistical Bulletin 2005. http://stats05.emcdda.europa.eu/en/home-en.html. Accessed October 18, 2006.
  77. 77.
    Chen CM, Yoon Y-H, Yi H-Y, Lucas DL. Alcohol and hepatitis C mortality among males and females in the United States: a life table analysis. Alcoholism: Clin Exp Res. 2007;31(2):285–292.Google Scholar
  78. 78.
    Gasiorowwicz M, Hurie M, Russell A, Hoxie N, Vergeront J. Epidemiologic trends in infection, mortality, and transplants related to hepatitis C in Wisconsin. Wisconsin Med J. 2006;105(1):34–39.Google Scholar
  79. 79.
    Alter MJ, Kuhnert WL, Finelli L. Guidelines for laboratory testing and result reporting of antibody to hepatitis C virus. MMWR. 2003;52(RR03):1–16.PubMedGoogle Scholar
  80. 80.
    Centers for Disease Control and Prevention. Viral Hepatitis E: Fact Sheet. Accessed May 4 2007.Google Scholar
  81. 81.
    National Center for HIV/AIDS VH, STD, and TB Prevention at the Centers for Disease Control and Prevention. Slide set: Hepatitis D. Slide Set: Viral Hepatitis; 2006.Google Scholar
  82. 82.
    Raudenbush SW, Bryk AS. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd edn. Thousand Oaks, CA: Sage Publications; 2002.Google Scholar
  83. 83.
    Singer JD, Willett JB. Applied longitudinal data analysis: modeling change and event occurrence. New York: Oxford University Press; 2003.Google Scholar
  84. 84.
    SAS/STAT® 9.1. Computer program. Version. Cary, NC: SAS Institute; 2004.Google Scholar
  85. 85.
    Friedman SR, Lieb S, Tempalski B, et al. HIV among injection drug users in large US metropolitan areas, 1998. J Urban Health. 2005;82(3):434–445.PubMedGoogle Scholar
  86. 86.
    Holmberg S. The estimated prevalence and incidence of HIV in 96 large US metropolitan areas. Am J Public Health. 1996;86:642–654.PubMedGoogle Scholar
  87. 87.
    Massey D, Denton N. American apartheid: segregation and the making of the underclass. Boston, MA: Harvard University Press; 1998.Google Scholar
  88. 88.
    Smedley B, Smith A, Nelson A. Unequal treatment: confronting racial and ethnic disparities in health care. Washington, DC: National Academies Press; 2003.Google Scholar
  89. 89.
    Easterbrook P, Keruly J, Creagh-Kirk T, Richman D. Racial and ethnic differences in outcome in zidovudine-treated patients with advanced HIV disease. JAMA. 1991;266(19):2713–2718.PubMedGoogle Scholar
  90. 90.
    Moore R, Hidalgo J, Sugland B, Chaisson R. Zidovudine and the natural history of the Acquired Immunodeficiency Syndrome. N Engl J Med. 1991;324(20):1412–1416.PubMedGoogle Scholar
  91. 91.
    Moore R, Stanton D, Gopalan R, Chaisson R. Racial differences in the use of drug therapy for HIV disease in an urban community. N Engl J Med. 1994;330(11):763–768.PubMedGoogle Scholar
  92. 92.
    Rosenberg P, Gail M, Schrager L, et al. National AIDS incidence trends and the extent of Zidovudine therapy in selected demographic and transmission groups. JAIDS. 1991;4(4):392–401.Google Scholar
  93. 93.
    Stein M, Piette J, Mor V, et al. Difference in access to Zidovudine (AZT) among symptomatic HIV-infected persons. J Gen Intern Med. 1991;6:35–40. (January/February)PubMedGoogle Scholar
  94. 94.
    Woods W, Guydish J, Sorenson J, Coutts A, Bostrom A, Acampora A. Changes in HIV-related risk behaviors following drug abuse treatment. AIDS. 1999;13:2151–2155.PubMedGoogle Scholar
  95. 95.
    Thiede H, Harris N, McGough J, Roberts B, Khabbaz R, Kaplan J. Prevalence of HTLV Types I and II Among Drug Users in King County, Washington. West J Med. 1994;160:540–544.PubMedGoogle Scholar
  96. 96.
    Kwiatkowski C, Booth R. Methadone maintenance as HIV risk reduction with street-recruited injecting drug users. JAIDS. 2001;26:483–489.PubMedGoogle Scholar
  97. 97.
    Wells K, Klap R, Koike A, Sherbourne C. Ethnic disparities in unmet need for alcoholism, drug abuse, and mental health care. Am J Psychiatry. 2001;158:2027–2032.PubMedGoogle Scholar
  98. 98.
    Bernstein KT, Bucciarelli A, Piper TM, Gross C, Tardiff K, Galea S. Cocaine- and opiate-related fatal overdose in New York City, 1990–2000. BMC Public Health. 2007;7:31.PubMedGoogle Scholar
  99. 99.
    Kallan JE. Drug abuse-related mortality in the United States: patterns and correlates. Am J Drug Alcohol Abuse. 1998;24(1):103–117.PubMedGoogle Scholar
  100. 100.
    Office of Applied Studies, Substance Abuse and Mental Health Services Administration. Treatment admissions in urban and rural areas involving abuse of narcotic painkillers:2002 update. Washington, DC: SAMHSA; 2004.Google Scholar
  101. 101.
    U.S. Dept. of Health and Human Services, Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment Episode Data Set (TEDS), 1992–2005, Concatenated data [Computer file]: Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor]; 2007.Google Scholar
  102. 102.
    Hennekens CH, Buring JF. Epidemiology in Medicine. Boston, MA: Little, Brown and Company; 1987.Google Scholar
  103. 103.
    US Department of Health and Human Services (US DHHS), Centers for Disease Control and Prevention (CDC), National Center for HIV SaTPN. AIDS Public Information Data Set (APIDS) US Surveillance Data for 1981–2002, CDC WONDER On-line Database: CDC; December 2005.Google Scholar
  104. 104.
    Louie JK, Hsu LC, Osmond DH, Katz MH, Schwarcz SK. Trends in causes of death among persons with acquired immunodeficiency syndrome in the era of highly active antiretroviral therapy, San Francisco, 1994–1998. J Infect Dis. 2002;186(7):1023–1027.PubMedGoogle Scholar
  105. 105.
    Harawa NT, Greenland S, Bingham TA, et al. Associations of Race/Ethnicity With HIV Prevalence and HIV-related behaviors among young men who have sex with men in 7 urban centers in the United States. JAIDS. 2004;35(5):526–536.PubMedGoogle Scholar
  106. 106.
    Kottiri BJ, Friedman SR, Neaigus A, Curtis R, Des Jarlais DC. Risk networks and racial/ethnic differences in the prevalence of HIV infection among injection drug users. JAIDS. 2002;30(1):95–104.PubMedGoogle Scholar
  107. 107.
    Des Jarlais DC, McKnight C, Milliken J. Public funding of US syringe exchange programs. J Urban Health. 2004;81(1):118–121.PubMedGoogle Scholar
  108. 108.
    Lurie P, Reingold A. The public-health impact of needle-exchange programs in the United States and abroad: summary, conclusions, and recommendations. San Francisco: University of California, San Francisco, Institute for Health Policy Studies; 1993.Google Scholar
  109. 109.
    Normand J, Vlahov D, Moses L. Preventing HIV transmission: the role of sterile needles and bleach. Washington, DC: National Academy Press/National Research Council/Institute of Medicine; 1995.Google Scholar
  110. 110.
    Tempalski B, Flom P, Friedman S, et al. Social and political factors predicting the presence of syringe exchange programs in 96 US metropolitan areas. Am J Public Health. 2007;97(3):437–447.PubMedGoogle Scholar
  111. 111.
    Burris S, Welsh J, Ng M, Li M, Ditzler A. State syringe and drug possession laws potentially influencing safe syringe disposal by injection drug users. J Am Pharm Assoc. 2002;42(6 Suppl 2):S94–S98.Google Scholar
  112. 112.
    Cunningham W, Markson LE, Anderson RM, et al. Prevalence and predictors of highly active antiretroviral therapy use in patients with HIV infection in the United States. JAIDS. 2000;25:115–123.PubMedGoogle Scholar
  113. 113.
    Human Rights Watch. Targeting blacks: drug law enforcement and race in the United States. New York: Human Rights Watch; 2008.Google Scholar
  114. 114.
    Blankenship KM, Smoyer AB, Bray SJ, Mattocks K. Black-white disparities in HIV/AIDS: the role of drug policy and the corrections system. J Health Care Poor Underserved. 2005;16(4 Suppl B):140–145.PubMedGoogle Scholar
  115. 115.
    Martin YI, James B, Rajeev NR, Terry F. How criminal system racial disparities may translate into health disparities. J Health Care Poor Underserved. 2005;16(4 Supplement B):48–56.Google Scholar
  116. 116.
    U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics. Incarcerated parents and their children. Washington, DC: US Department of Justice; 2000.Google Scholar
  117. 117.
    Kang S-Y, Deren S, Andia J, Colon HM, Robles R, Oliver-Velez D. HIV transmission behaviors in jail/prison among Puerto Rican drug injectors in New York and Puerto Rico. AIDS Behav. 2005;9(93):377–386.PubMedGoogle Scholar
  118. 118.
    Hammett TM. HIV/AIDS and other infectious diseases among correctional inmates: transmission, burden, and an appropriate response. Am J Public Health. 2006;96(6):974–978.PubMedGoogle Scholar
  119. 119.
    Binswanger IA, Stern MF, Deyo RA, et al. Release from prison–a high risk of death for former inmates. N Engl J Med. 2007;356(2):157–165.PubMedGoogle Scholar
  120. 120.
    Bird SM, Hutchinson SJ. Male drugs-related deaths in the fortnight after release from prison: Scotland, 1996–99. Addict. 2003;98(2):185–190.Google Scholar
  121. 121.
    Kerr T, Fairbairn N, Tyndall M, et al. Predictors of non-fatal overdose among a cohort of polysubstance-using injection drug users. Drug Alcohol Depend. 2007;87(1):39–45.PubMedGoogle Scholar
  122. 122.
    Thomas JC, Torrone E. Incarceration as forced migration: effects on selected community health outcomes. Am J Public Health. 2006;96(10):1762–1765.PubMedGoogle Scholar
  123. 123.
    Neaigus A, Gyarmathy VA, Miller M, Frajzyngier VM, Friedman SR, Des Jarlais DC. Transitions to injecting drug use among noninjecting heroin users: social network influence and individual susceptibility. JAIDS. 2006;41(4):493–503.PubMedGoogle Scholar
  124. 124.
    Fuller CM, Vlahov D, Ompad D, Shah N, Aria A, Strathdee SA. High-risk behaviors associated with transition from illicit non-injection to injection drug use among adolescent and young adult drug users: a case-control study. Drug Alcohol Depend. 2002;66(2):189–198.PubMedGoogle Scholar
  125. 125.
    Sackoff JE, Hanna DB, Pfeiffer MR, Torian LV. Causes of death among persons with AIDS in the Era of highly active antiretroviral therapy: New York City. Ann Intern Med. 2006;145(6):397–406.PubMedGoogle Scholar
  126. 126.
    Fordyce EJ, Singh TP, Nash D, Gallagher B, Forlenza S. Survival Rates in NYC in the Era of Combination ART. JAIDS. 2002;30(1):111–118.PubMedGoogle Scholar
  127. 127.
    Hellinger FJ, Fleishman JA. Location, race, and hospital care for AIDS patients: an analysis of 10 states. Inquiry. 2001;38(3):319–330.PubMedGoogle Scholar
  128. 128.
    Anderson KH, Mitchell JM. Differential access in the receipt of antiretroviral drugs for the treatment of AIDS and its implications for survival. Arch Internal Medicine. 2000;160(20):3114–3120.Google Scholar
  129. 129.
    Johnston L, O'Malley P, Bachman J. Demographic subgroup trends for various licit and illicit drugs, 1975–2002. Ann Arbor, MI: Institute for Social Research; 2003.Google Scholar
  130. 130.
    US Department of Health and Human Services, National Institutes of Health, National Institute on Drug Abuse, Division of Epidemiology S, and Prevention Research. Drug use among racial/ethnic minorities, revised. Bethesda, MD: NIH; 2003.Google Scholar
  131. 131.
    Hamid A, Curtis R, McCoy K, al E. The heroin epidemic in New York City: current status and prognosis. J Psychoactive Drugs. 1999;41:375–391.Google Scholar
  132. 132.
    Broz D, Ouellet LJ. Racial and ethnic changes in heroin injection in the United States: Implications for the HIV/AIDS epidemic. Drug and Alcohol Dependence. In press.Google Scholar
  133. 133.
    Taylor JJB. Factors affecting alcohol consumption in black women, Part II. Int J Addict. 1990;25:1415–1427.PubMedGoogle Scholar
  134. 134.
    Yen I, Ragland D, Greiner B, Fisher J. Racial discrimination and alcohol-related behavior in urban transit operators: findings from the San Francisco Muni Health and Safety Study. Public Health Rep. 1999;114:448–458.PubMedGoogle Scholar
  135. 135.
    Martin J, Tuch S, Roman PJ, Tuch SA, Roman PM. Problem drinking patterns among African-Americans: the Impacts of reports of discrimination, perceptions of prejudice, and “Risky” coping strategies. J Health Soc Behav. 2003;44:408–425.PubMedGoogle Scholar
  136. 136.
    Bennet G, Yaus Wolin K, Robinson E, Fowler S, Edwards C. Perceived Racial/Ethnic Harassment and tobacco use among African-American young adults. Am J Public Health. 2005;95:238–240.Google Scholar
  137. 137.
    Landrine H, Klonoff E. Racial discrimination and cigarette smoking among blacks: findings from two studies. Ethnicity and Disease. 2000;10:195–202.PubMedGoogle Scholar
  138. 138.
    Guthrie B, Young A, Williams D, Boyd C, Kinter E. African American girls’ smoking habits and day-to-day experiences with racial discrimination. Nursing Research. 2002;51:183–190.PubMedGoogle Scholar
  139. 139.
    Gibbons F, Gerrard M, Cleveland M, Wills T, Brody G. Perceived discrimination and substance use in African American parents and their children: a panel study. Journal of Personality and Social Psychology. 2004;86:517–529.PubMedGoogle Scholar
  140. 140.
    Iceland J, Weinberg DH, Steinmetz E. Racial and ethnic residential segregation in the United States: 1980–2000. Washington, DC: U.S. Census Bureau; 2002.Google Scholar
  141. 141.
    Davidson PJ, McLean RL, Kral AH, Gleghorn AA, Edlin BR, Moss AR. Fatal heroin-related overdose in San Francisco, 1997–2000: a case for targeted intervention. J Urban Health. 2003;80(2):261–273.PubMedGoogle Scholar
  142. 142.
    Oxman G, Kowalski S, Drapela L, et al. Heroin overdose deaths—Multnomah county, Oregon, 1993–1999. MMWR. 2000;49(28):633–636.Google Scholar
  143. 143.
    Solet D, Hagan H, Nakagawara J, Plough A, Ball J. Unintentional Opiate overdose deaths—King County, Washington, 1990–1999. MMWR. 2000;49(28):636–640.Google Scholar
  144. 144.
    Darke S, Roos J, Zador D, Sunjic S. Heroin-related deaths in New South Wales, Australia, 1992–1996. Drug Alcohol Depend. 2000;60:141–150.PubMedGoogle Scholar
  145. 145.
    Darke S, Hetherington K, Ross J, Lynskey M, Teesson M. Non-injecting routes of administration among entrants to three treatment modalities for heroin dependence. Drug Alcohol Rev. 2004;23:1.Google Scholar
  146. 146.
    Carpentrer CAC, Stitzer M. Heroin snorters versus injectors: comparison on drug use and treatment outcome in age-matched samples. Drug Alcohol Depend. 1998;53:11–15.Google Scholar
  147. 147.
    Swift W, Maher L, Sunjic S. Transitions between routes of heroin administration: a study of Caucasian and Indochinese heroin users in southwestern Sydney. Addict. 1999;94:71–82.Google Scholar
  148. 148.
    Mocroft A, Vella S, Benfield T, et al. Changing patterns of mortality across Europe in patients infected with HIV-1. Lancet. 1998;352:1725–1730.PubMedGoogle Scholar
  149. 149.
    Hogg R, Heath K, Yip B, et al. Improved survival among HIV-infected individuals following initiation of antiretroviral therapy. JAMA. 1998;279:450–454.PubMedGoogle Scholar
  150. 150.
    Palella FJ, Delaney K, Moorman A, et al. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. N Engl J Med. 1998;338:853–860.PubMedGoogle Scholar
  151. 151.
    US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for HIV S, and TB Prevention. AIDS Public Information Data Set (APIDS) US Surveillance Data for 1981–2002, CDC Wonder On-line Database: CDC; 2005.Google Scholar

Copyright information

© The New York Academy of Medicine 2008

Authors and Affiliations

  • Hannah L. F. Cooper
    • 1
    • 5
  • Joanne E. Brady
    • 2
  • Samuel R. Friedman
    • 2
    • 3
  • Barbara Tempalski
    • 2
  • Karla Gostnell
    • 2
  • Peter L. Flom
    • 2
    • 4
  1. 1.Department of Behavioral Sciences and Health EducationRollins School of Public Health at Emory UniversityAtlantaUSA
  2. 2.National Development and Research Institutes, IncNew YorkUSA
  3. 3.Bloomberg School of Public HealthJohns Hopkins UniversityBaltimoreUSA
  4. 4.BrainscopeNew YorkUSA
  5. 5.Rollins School of Public HealthEmory UniversityAtlantaUSA

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