Kathleen R Elliott1, Emily Jones2. 1. Science Policy Branch, Office of Science Policy and Communications, National Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd, Fifth Floor, Rockville, MD 20852, United States. Electronic address: hdelli00@aacounty.org. 2. Science Policy Branch, Office of Science Policy and Communications, National Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd, Fifth Floor, Rockville, MD 20852, United States; Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave, NW, Washington DC 20052, United States.
Abstract
BACKGROUND: Studies have shown the frequency of drug misuse is important in the development of a substance use disorder, but little is known about this relationship in the context of opioid misuse and opioid use disorder and withdrawal symptoms. METHODS: Our study included 2694 civilian respondents from the United States 12 years and older who had misused prescription opioids in the past year from the 2014 National Survey on Drug Use and Health. Logistic regression was used to model the association between frequency of prescription opioid misuse and opioid use disorder and withdrawal symptoms, adjusting for age, sex, race/ethnicity, and income level. RESULTS: Misusing prescription opioids more frequently was significantly associated with opioid use disorder in a dose-dependent manner (daily misuse: OR = 14.92, 95% confidence interval (CI) 9.29, 23.95; 1-2 days/week: OR = 4.46 95% CI: 2.52, 7.89}; 1-4 times/month: OR = 2.40, 95% CI: 1.37, 4.18) compared to use less than 1 time a month. OR = 2.89, 95% CI 1.90, 4.40, respectively) after controlling for sex, age, race/ethnicity, and income. A dose-dependent relationship was found between frequency of opioid misuse and withdrawal symptoms (daily misuse: OR = 2.89, 95% CI: 1.90, 4.40; 1-2 times/week: OR = 1.91, 95% CI: 1.05, 3.45; and 1-4 times/month: 1.74, 95% CI: 1.90, 4.40) after controlling for all covariates mentioned above. CONCLUSIONS: Our results provide evidence that higher frequency of opioid misuse is associated with both opioid use disorder and withdrawal symptoms. Frequency of use should be considered in the development of more effective opioid use disorder prevention strategies.
BACKGROUND: Studies have shown the frequency of drug misuse is important in the development of a substance use disorder, but little is known about this relationship in the context of opioid misuse and opioid use disorder and withdrawal symptoms. METHODS: Our study included 2694 civilian respondents from the United States 12 years and older who had misused prescription opioids in the past year from the 2014 National Survey on Drug Use and Health. Logistic regression was used to model the association between frequency of prescription opioid misuse and opioid use disorder and withdrawal symptoms, adjusting for age, sex, race/ethnicity, and income level. RESULTS: Misusing prescription opioids more frequently was significantly associated with opioid use disorder in a dose-dependent manner (daily misuse: OR = 14.92, 95% confidence interval (CI) 9.29, 23.95; 1-2 days/week: OR = 4.46 95% CI: 2.52, 7.89}; 1-4 times/month: OR = 2.40, 95% CI: 1.37, 4.18) compared to use less than 1 time a month. OR = 2.89, 95% CI 1.90, 4.40, respectively) after controlling for sex, age, race/ethnicity, and income. A dose-dependent relationship was found between frequency of opioid misuse and withdrawal symptoms (daily misuse: OR = 2.89, 95% CI: 1.90, 4.40; 1-2 times/week: OR = 1.91, 95% CI: 1.05, 3.45; and 1-4 times/month: 1.74, 95% CI: 1.90, 4.40) after controlling for all covariates mentioned above. CONCLUSIONS: Our results provide evidence that higher frequency of opioid misuse is associated with both opioid use disorder and withdrawal symptoms. Frequency of use should be considered in the development of more effective opioid use disorder prevention strategies.
Authors: Carlos Blanco; Mir M Ali; Aaron Beswick; Karen Drexler; Cheri Hoffman; Christopher M Jones; Tisha R A Wiley; Allan Coukell Journal: NAM Perspect Date: 2020-10-26
Authors: Ricky N Bluthenthal; Kelsey Simpson; Rachel Carmen Ceasar; Johnathan Zhao; Lynn Wenger; Alex H Kral Journal: Drug Alcohol Depend Date: 2020-03-18 Impact factor: 4.492
Authors: Lorraine I Kelley-Quon; Matthew G Kirkpatrick; Robert L Ricca; Robert Baird; Calista M Harbaugh; Ashley Brady; Paula Garrett; Hale Wills; Jonathan Argo; Karen A Diefenbach; Marion C W Henry; Juan E Sola; Elaa M Mahdi; Adam B Goldin; Shawn D St Peter; Cynthia D Downard; Kenneth S Azarow; Tracy Shields; Eugene Kim Journal: JAMA Surg Date: 2021-01-01 Impact factor: 14.766