Daniel J Feaster1, Carrigan L Parish2, Lauren Gooden3, Tim Matheson4, Pedro C Castellon5, Rui Duan6, Yue Pan7, Louise F Haynes8, Bruce R Schackman9, C Kevin Malotte10, Raul N Mandler11, Grant N Colfax12, Lisa R Metsch13. 1. University of Miami Miller School of Medicine, Department of Public Health Sciences, 1120 NW 14th St., Miami, FL 33136, USA. Electronic address: dfeaster@med.miami.edu. 2. Columbia University Mailman School of Public Health, Department of Sociomedical Sciences, Miami Research Center, 1120 NW 14th St., Miami, FL 33136, USA. Electronic address: cp2695@columbia.edu. 3. Columbia University Mailman School of Public Health, Department of Sociomedical Sciences, Miami Research Center, 1120 NW 14th St., Miami, FL 33136, USA. Electronic address: lkg2129@columbia.edu. 4. San Francisco Department of Public Health, HIV Prevention Section, 25 Van Ness Avenue, San Francisco, CA 94102, USA. Electronic address: Tim.Matheson@sfdph.org. 5. Columbia University Mailman School of Public Health, Department of Sociomedical Sciences, Miami Research Center, 1120 NW 14th St., Miami, FL 33136, USA. Electronic address: pc2594@columbia.edu. 6. University of Miami Miller School of Medicine, Department of Public Health Sciences, 1120 NW 14th St., Miami, FL 33136, USA. Electronic address: rduan@med.miami.edu. 7. University of Miami Miller School of Medicine, Department of Public Health Sciences, 1120 NW 14th St., Miami, FL 33136, USA. Electronic address: panyue@med.miami.edu. 8. Medical University of South Carolina, Addiction Sciences Division, 67 President Street, Charleston, SC 29425, USA. Electronic address: hayneslf@musc.edu. 9. Weill Cornell Medical College, Department of Healthcare Policy and Research, 425 East 61st St., New York, NY, USA. Electronic address: brs2006@med.cornell.edu. 10. California State University, Long Beach, Department of Health Sciences, Center for Health Care Innovation, 5500 Atherton St., Long Beach, CA, USA. Electronic address: kmalotte@csulb.edu. 11. National Institute of Health, National Institute on Drug Abuse, 6000 Executive Boulevard, Rockville, MD 20852, USA. Electronic address: mandlerr@nida.nih.gov. 12. San Francisco Department of Public Health, HIV Prevention Section, 25 Van Ness Avenue, San Francisco, CA 94102, USA. Electronic address: grant.colfax@sfdph.org. 13. Columbia University Mailman School of Public Health, Department of Sociomedical Sciences, 722 W 168th St., 9th Floor, New York, NY 10032, USA. Electronic address: lm2892@columbia.edu.
Abstract
OBJECTIVES: Sexually transmitted infections (STIs) are significant public health and financial burdens in the United States. This manuscript examines the relationship between substance use and prevalent and incident STIs in HIV-negative adult patients at STI clinics. METHODS: A secondary analysis of Project AWARE was performed based on 5012 patients from 9 STI clinics. STIs were assessed by laboratory assay and substance use by self-report. Patterns of substance use were assessed using latent class analysis. The relationship of latent class to STI rates was investigated using Poisson regression by population groups at high risk for STIs defined by participant's and partner's gender. RESULTS: Drug use patterns differed by risk group and substance use was related to STI rates with the relationships varying by risk behavior group. Substance use treatment participation was associated with increased STI rates. CONCLUSIONS: Substance use focused interventions may be useful in STI clinics to reduce morbidity associated with substance use. Conversely, gender-specific sexual health interventions may be useful in substance use treatment. Copyright Â
OBJECTIVES: Sexually transmitted infections (STIs) are significant public health and financial burdens in the United States. This manuscript examines the relationship between substance use and prevalent and incident STIs in HIV-negative adult patients at STI clinics. METHODS: A secondary analysis of Project AWARE was performed based on 5012 patients from 9 STI clinics. STIs were assessed by laboratory assay and substance use by self-report. Patterns of substance use were assessed using latent class analysis. The relationship of latent class to STI rates was investigated using Poisson regression by population groups at high risk for STIs defined by participant's and partner's gender. RESULTS: Drug use patterns differed by risk group and substance use was related to STI rates with the relationships varying by risk behavior group. Substance use treatment participation was associated with increased STI rates. CONCLUSIONS: Substance use focused interventions may be useful in STI clinics to reduce morbidity associated with substance use. Conversely, gender-specific sexual health interventions may be useful in substance use treatment. Copyright Â
Authors: Lisa R Metsch; Daniel J Feaster; Lauren Gooden; Bruce R Schackman; Tim Matheson; Moupali Das; Matthew R Golden; Shannon Huffaker; Louise F Haynes; Susan Tross; C Kevin Malotte; Antoine Douaihy; P Todd Korthuis; Wayne A Duffus; Sarah Henn; Robert Bolan; Susan S Philip; Jose G Castro; Pedro C Castellon; Gayle McLaughlin; Raul N Mandler; Bernard Branson; Grant N Colfax Journal: JAMA Date: 2013-10-23 Impact factor: 56.272
Authors: Kwame Owusu-Edusei; Harrell W Chesson; Thomas L Gift; Guoyu Tao; Reena Mahajan; Marie Cheryl Bañez Ocfemia; Charlotte K Kent Journal: Sex Transm Dis Date: 2013-03 Impact factor: 2.830
Authors: Matthew W Johnson; Justin C Strickland; Evan S Herrmann; Sean B Dolan; David J Cox; Meredith S Berry Journal: Exp Clin Psychopharmacol Date: 2020-10-01 Impact factor: 3.157
Authors: Liza Coyer; Anders Boyd; Udi Davidovich; Ward P H van Bilsen; Maria Prins; Amy Matser Journal: Addiction Date: 2021-09-22 Impact factor: 7.256
Authors: Tyler S Bartholomew; Hansel E Tookes; Corinne Bullock; Jason Onugha; David W Forrest; Daniel J Feaster Journal: Int J Drug Policy Date: 2020-03-05