Literature DB >> 17191089

Recreational Viagra Use and Sexual Risk among Drug Abusing Men.

Dennis G Fisher, Robert Malow, Rhonda Rosenberg, Grace L Reynolds, Nisha Farrell, Adi Jaffe.   

Abstract

Until recently, the Viagra connection to HIV was anchored in older adults. However, CDC investigation showed stability in 50+ HIV diagnoses on the heels of upward trends in risk indicators among men who have sex with men (MSM) and substance abusing populations. Signs have increasingly pointed to recreational drug use among younger populations, to which Viagra is being added to the mix. Currently, the field is still locating the substance abuse, sexual risk and age-related dimensions of Viagra misuse. Recent studies identify it primarily as substance abuse, but the majority reports a combination of risky sex and risky drug use. At the very least, Viagra appears related to the enhancement of sexual experience or performance, even when it is used to compensate for erectile dysfunction caused by other drugs-either illicit or prescribed (e.g., antidepressants and highly active antiretroviral therapy or HAART). The populations studied, however, frequently have limited the generalizability of findings. This report analyzes the relationship among Viagra, Club Drugs and HIV sexual risk behavior in drug using men with a sample diverse in sexual orientation and demographic scope. Participants were 640 males recruited from three HIV prevention programs in Los Angeles County. Mean age was 43.97 years, ranging from 18.7 to 70.3 with almost 25% over 50. Sexual orientation was 79% heterosexual, 8% bisexual and 12% gay. Racial composition was 45% white, 35% black and 19% Hispanic. NIDA's Risk Behavior Assessment and a Club Drug/Viagra addendum were used to collect socio-demographic, substance use and sexual risk data. Multiple logistic regression models were constructed along with chi-square tests of association and some t-tests. White race was a major risk factor. No age effect was found. MSM were more likely to use Viagra. Insertive anal sex was a significant co-factor among heterosexual Viagra users involved in transactional sex with women. In the overall sample and the subsets of heterosexual, MSM, younger and older men, predictive models all identified club or designer drugs as significant co-factors in the use of Viagra. Different patterns of drug co-factors were observed for each subset. We detected consistent positive associations between the use of Viagra and the use of amphetamines immediately before or during sex. Viagra use has moved into a new generational context and now complicates the sexual risk and intervention equations for all men, particularly MSM as well as more hidden subgroups.

Entities:  

Year:  2006        PMID: 17191089      PMCID: PMC1716731          DOI: 10.3844/ajidsp.2006.107.114

Source DB:  PubMed          Journal:  Am J Infect Dis        ISSN: 1553-6203


  22 in total

1.  Mapping the roots of HIV/AIDS complacency: implications for program and policy development.

Authors:  Ronald O Valdiserri
Journal:  AIDS Educ Prev       Date:  2004-10

2.  Introduction: new dynamics of HIV risk among drug-using men who have sex with men.

Authors:  Elizabeth Lambert; Jacques Normand; Ron Stall; Sevgi Aral; David Vlahov
Journal:  J Urban Health       Date:  2005-02-28       Impact factor: 3.671

3.  Post-circuit blues: motivations and consequences of crystal meth use among gay men in Miami.

Authors:  Steven P Kurtz
Journal:  AIDS Behav       Date:  2005-03

4.  AIDS among persons aged > or = 50 years--United States, 1991-1996.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1998-01-23       Impact factor: 17.586

5.  Outbreak of syphilis among men who have sex with men--Southern California, 2000.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2001-02-23       Impact factor: 17.586

6.  Use of recreational Viagra among men having sex with men.

Authors:  R Crosby; R J Diclemente
Journal:  Sex Transm Infect       Date:  2004-12       Impact factor: 3.519

7.  Prevention with HIV-seropositive men who have sex with men: lessons from the Seropositive Urban Men's Study (SUMS) and the Seropositive Urban Men's Intervention Trial (SUMIT).

Authors:  Richard J Wolitski; Jeffrey T Parsons; Cynthia A Gómez
Journal:  J Acquir Immune Defic Syndr       Date:  2004-10-01       Impact factor: 3.731

8.  Transactional sex among women in Soweto, South Africa: prevalence, risk factors and association with HIV infection.

Authors:  Kristin L Dunkle; Rachel K Jewkes; Heather C Brown; Glenda E Gray; James A McIntryre; Siobán D Harlow
Journal:  Soc Sci Med       Date:  2004-10       Impact factor: 4.634

9.  Viagra use in a community-recruited sample of men who have sex with men, San Francisco.

Authors:  Priscilla Lee Chu; Willi McFarland; Steven Gibson; Darlene Weide; Jeff Henne; Paul Miller; Teddy Partridge; Sandra Schwarcz
Journal:  J Acquir Immune Defic Syndr       Date:  2003-06-01       Impact factor: 3.731

10.  Increases in HIV diagnoses--29 States, 1999-2002.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2003-11-28       Impact factor: 17.586

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  16 in total

1.  Recreational use of erectile dysfunction medications in undergraduate men in the United States: characteristics and associated risk factors.

Authors:  Christopher B Harte; Cindy M Meston
Journal:  Arch Sex Behav       Date:  2010-04-01

2.  Time Since First Acting on Same-Sex Attraction and Recreational Drug Use among Men Who Have Sex With Men (MSM): Is There an Effect of "Gay Age"?

Authors:  Cara E Rice; Sara A Vasilenko; Stephanie T Lanza; John A Davis; Karen S Fields; Melissa Ervin; Abigail Norris Turner
Journal:  Subst Use Misuse       Date:  2017-11-13       Impact factor: 2.164

3.  Drug Use, Personality and Partner Violence: A Model of Separate, Additive, Contributions in an Active Drug User Sample.

Authors:  Adi Jaffe; William C Pedersen; Dennis G Fisher; Grace L Reynolds; Scott L Hershberger; Steve Reise; Peter Bentler
Journal:  Open Addict J       Date:  2009

4.  Lessons from the viagra study: methodological challenges in recruitment of older and minority heterosexual men for research on sexual practices and risk behaviors.

Authors:  Sande Gracia Jones; Carol A Pat Patsdaughter; Vicente Manuel Martinez Cardenas
Journal:  J Assoc Nurses AIDS Care       Date:  2011-01-08       Impact factor: 1.354

5.  Sexual dysfunction in an Internet sample of U.S. men who have sex with men.

Authors:  Sabina Hirshfield; Mary Ann Chiasson; Robert L Wagmiller; Robert H Remien; Mike Humberstone; Roberta Scheinmann; Christian Grov
Journal:  J Sex Med       Date:  2010-09       Impact factor: 3.802

6.  Erectile dysfunction drug receipt, risky sexual behavior and sexually transmitted diseases in HIV-infected and HIV-uninfected men.

Authors:  Robert L Cook; Kathleen A McGinnis; Jeffrey H Samet; David A Fiellin; Maria C Rodriguez-Barradas; Maria C Rodriquez-Barradas; Kevin L Kraemer; Cynthia L Gibert; R Scott Braithwaite; Joseph L Goulet; Kristin Mattocks; Stephen Crystal; Adam J Gordon; Krisann K Oursler; Amy C Justice
Journal:  J Gen Intern Med       Date:  2009-11-18       Impact factor: 5.128

7.  Complex drug use patterns and associated HIV transmission risk behaviors in an Internet sample of U.S. men who have sex with men.

Authors:  Gary Yu; Melanie M Wall; Mary Ann Chiasson; Sabina Hirshfield
Journal:  Arch Sex Behav       Date:  2014-08-08

Review 8.  Variations in sexual risks in drug users: emerging themes in a behavioral context.

Authors:  David D Celentano; Amanda D Latimore; Shruti H Mehta
Journal:  Curr HIV/AIDS Rep       Date:  2008-11       Impact factor: 5.071

9.  Event-Level Analysis of Anal Sex Roles and Sex Drug Use Among Gay and Bisexual Men in Vancouver, British Columbia, Canada.

Authors:  Ashleigh J Rich; Nathan J Lachowsky; Zishan Cui; Paul Sereda; Allan Lal; David M Moore; Robert S Hogg; Eric A Roth
Journal:  Arch Sex Behav       Date:  2015-11-02

Review 10.  Use of crystal methamphetamine, Viagra, and sexual behavior.

Authors:  Dennis G Fisher; Grace L Reynolds; Lucy E Napper
Journal:  Curr Opin Infect Dis       Date:  2010-02       Impact factor: 4.915

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