BACKGROUND: Evidence suggests gender differences in abuse of prescription opioids. This study aimed to describe characteristics of women who abuse prescription opioids in a treatment-seeking sample and to contrast gender differences among prescription opioid abusers. METHODS: Data collected November 2005 to April 2008 derived from the Addiction Severity Index Multimedia Version Connect (ASI-MV Connect) database. Bivariate and multivariable logistic regression examined correlates of prescription opioid abuse stratified by gender. RESULTS: 29,906 assessments from 220 treatment centers were included, of which 12.8% (N=3821) reported past month prescription opioid abuse. Women were more likely than men to report use of any prescription opioid (29.8% females vs. 21.1% males, p<0.001) and abuse of any prescription opioid (15.4% females vs. 11.1% males, p<0.001) in the past month. Route of administration and source of prescription opioids displayed gender-specific tendencies. Women-specific correlates of recent prescription opioid abuse were problem drinking, age <54, inhalant use, residence outside of West US Census region, and history of drug overdose. Men-specific correlates were age <34, currently living with their children, residence in the South and Midwest, hallucinogen use, and recent depression. Women prescription opioid abusers were less likely to report a pain problem although they were more likely to report medical problems than women who abused other drugs. CONCLUSIONS: Gender-specific factors should be taken into account in efforts to screen and identify those at highest risk of prescription opioid abuse. Prevention and intervention efforts with a gender-specific approach are warranted.
BACKGROUND: Evidence suggests gender differences in abuse of prescription opioids. This study aimed to describe characteristics of women who abuse prescription opioids in a treatment-seeking sample and to contrast gender differences among prescription opioid abusers. METHODS: Data collected November 2005 to April 2008 derived from the Addiction Severity Index Multimedia Version Connect (ASI-MV Connect) database. Bivariate and multivariable logistic regression examined correlates of prescription opioid abuse stratified by gender. RESULTS: 29,906 assessments from 220 treatment centers were included, of which 12.8% (N=3821) reported past month prescription opioid abuse. Women were more likely than men to report use of any prescription opioid (29.8% females vs. 21.1% males, p<0.001) and abuse of any prescription opioid (15.4% females vs. 11.1% males, p<0.001) in the past month. Route of administration and source of prescription opioids displayed gender-specific tendencies. Women-specific correlates of recent prescription opioid abuse were problem drinking, age <54, inhalant use, residence outside of West US Census region, and history of drug overdose. Men-specific correlates were age <34, currently living with their children, residence in the South and Midwest, hallucinogen use, and recent depression. Women prescription opioid abusers were less likely to report a pain problem although they were more likely to report medical problems than women who abused other drugs. CONCLUSIONS: Gender-specific factors should be taken into account in efforts to screen and identify those at highest risk of prescription opioid abuse. Prevention and intervention efforts with a gender-specific approach are warranted.
Authors: M Carrington Reid; Laura L Engles-Horton; MaryAnn B Weber; Robert D Kerns; Elizabeth L Rogers; Patrick G O'Connor Journal: J Gen Intern Med Date: 2002-03 Impact factor: 5.128
Authors: Aron J Hall; Joseph E Logan; Robin L Toblin; James A Kaplan; James C Kraner; Danae Bixler; Alex E Crosby; Leonard J Paulozzi Journal: JAMA Date: 2008-12-10 Impact factor: 56.272
Authors: Bradley T Kerridge; Tulshi D Saha; S Patricia Chou; Haitao Zhang; Jeesun Jung; W June Ruan; Sharon M Smith; Boji Huang; Deborah S Hasin Journal: Drug Alcohol Depend Date: 2015-09-02 Impact factor: 4.492
Authors: Katherine M Keyes; Magdalena Cerdá; Joanne E Brady; Jennifer R Havens; Sandro Galea Journal: Am J Public Health Date: 2013-12-12 Impact factor: 9.308
Authors: Margaret L Griffin; Katherine A McDermott; R Kathryn McHugh; Garrett M Fitzmaurice; Robert N Jamison; Roger D Weiss Journal: Drug Alcohol Depend Date: 2016-04-25 Impact factor: 4.492
Authors: Tristan I Evans; Elliott J Liebling; Traci C Green; Scott E Hadland; Melissa A Clark; Brandon D L Marshall Journal: J Addict Med Date: 2017 Jul/Aug Impact factor: 3.702
Authors: Andrea Meier; Chantal Lambert-Harris; Mark P McGovern; Haiyi Xie; Melissa An; Bethany McLeman Journal: Am J Drug Alcohol Abuse Date: 2014-05-08 Impact factor: 3.829