Adolescent nonmedical users of prescription opioids: brief screening and substance use disorders. 2012

Sean Esteban McCabe, and Brady T West, and Christian J Teter, and James A Cranford, and Paula L Ross-Durow, and Carol J Boyd
Institute for Research on Women and Gender, University of Michigan-Ann Arbor, 204 S. State St., Ann Arbor, MI 48109-1290, USA. plius@umich.edu

OBJECTIVE The objectives of this study are to examine the associations among a positive score on the CRAFFT (a substance use brief screening test for adolescents) and demographic characteristics, diversion sources, routes of administration, substance use behaviors and motivations associated with the use of prescription opioids without a legal prescription. METHODS In 2009-2010, a sample of 2744 middle and high school students from two Midwestern school districts in the United States self-administered a Web-based survey. RESULTS Approximately 5.6% (n=148) of respondents reported past-year nonmedical use of prescription opioids (NMUPO). Of those reporting NMUPO, approximately 35.1% (n=52) screened positive for substance use disorders based on the CRAFFT. Multiple logistic regression analyses indicated that the odds of buying prescription opioids, obtaining opioids from multiple diversion sources, administering opioids intranasally, and using opioids to get high were greater for nonmedical users with a positive CRAFFT screen as compared to NMUPO with a negative CRAFFT screen. NMUPO with a positive screen was motivated primarily for recreational purposes, while NMUPO with a negative screen was motivated almost exclusively by pain relief. CONCLUSIONS The CRAFFT brief screening test for adolescents can be used to identify a subgroup of NMUPO at the highest risk for a substance use disorder as well as a subgroup of NMUPO who would benefit from appropriate pain management.

UI MeSH Term Description Entries
D008297 Male Males
D009042 Motivation Those factors which cause an organism to behave or act in either a goal-seeking or satisfying manner. They may be influenced by physiological drives or by external stimuli. Incentives,Disincentives,Expectations,Disincentive,Expectation,Incentive,Motivations
D009293 Opioid-Related Disorders Disorders related to or resulting from abuse or misuse of OPIOIDS. Opiate Addiction,Opiate Dependence,Opioid Misuse,Opioid Use Disorder,Prescription Opioid Abuse,Prescription Opioid Misuse,Addiction, Opioid,Dependence, Opioid,Opiate Abuse,Opioid Abuse,Opioid Addiction,Opioid Dependence,Abuse, Opiate,Abuse, Opioid,Abuse, Prescription Opioid,Addiction, Opiate,Dependence, Opiate,Disorder, Opioid Use,Misuse, Opioid,Misuse, Prescription Opioid,Opiate Abuses,Opioid Abuse, Prescription,Opioid Abuses,Opioid Addictions,Opioid Dependences,Opioid Misuses,Opioid Related Disorders,Opioid Use Disorders,Opioid-Related Disorder,Prescription Opioid Abuses,Prescription Opioid Misuses
D010146 Pain An unpleasant sensation induced by noxious stimuli which are detected by NERVE ENDINGS of NOCICEPTIVE NEURONS. Suffering, Physical,Ache,Pain, Burning,Pain, Crushing,Pain, Migratory,Pain, Radiating,Pain, Splitting,Aches,Burning Pain,Burning Pains,Crushing Pain,Crushing Pains,Migratory Pain,Migratory Pains,Pains, Burning,Pains, Crushing,Pains, Migratory,Pains, Radiating,Pains, Splitting,Physical Suffering,Physical Sufferings,Radiating Pain,Radiating Pains,Splitting Pain,Splitting Pains,Sufferings, Physical
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000701 Analgesics, Opioid Compounds with activity like OPIATE ALKALOIDS, acting at OPIOID RECEPTORS. Properties include induction of ANALGESIA or NARCOSIS. Opioid,Opioid Analgesic,Opioid Analgesics,Opioids,Full Opioid Agonists,Opioid Full Agonists,Opioid Mixed Agonist-Antagonists,Opioid Partial Agonists,Partial Opioid Agonists,Agonist-Antagonists, Opioid Mixed,Agonists, Full Opioid,Agonists, Opioid Full,Agonists, Opioid Partial,Agonists, Partial Opioid,Analgesic, Opioid,Full Agonists, Opioid,Mixed Agonist-Antagonists, Opioid,Opioid Agonists, Full,Opioid Agonists, Partial,Opioid Mixed Agonist Antagonists,Partial Agonists, Opioid
D015146 Midwestern United States The geographic area of the midwestern region of the United States in general or when the specific state or states are not indicated. The states usually included in this region are Illinois, Indiana, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Nebraska, Ohio, Oklahoma, North Dakota, South Dakota and Wisconsin. Middle West U.S.,Midwest U.S.,Midwest US

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