11.07.2015 Views

Clinical Textbook of Addictive Disorders 3rd ed - R. Frances, S. Miller, A. Mack (Guilford, 2005) WW

Clinical Textbook of Addictive Disorders 3rd ed - R. Frances, S. Miller, A. Mack (Guilford, 2005) WW

Clinical Textbook of Addictive Disorders 3rd ed - R. Frances, S. Miller, A. Mack (Guilford, 2005) WW

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

11. Polysubstance Use, Abuse, and Dependence 249dependence, which was not survey<strong>ed</strong> in the ECA, individuals with cocaineabuse/dependence have the strongest risk (84.8%; OR = 36.3) <strong>of</strong> any groupwith an SUD for an additional alcohol use disorder (Regier et al., 1990). In theECA, the associat<strong>ed</strong> use disorder for barbiturates, opiates, amphetamines, andhallucinogens demonstrates an OR for an additional lifetime alcohol use disorder<strong>of</strong> 10.0 or more (Regier et al., 1990).However, if one tries to understand the temporal relationship betweenclasses <strong>of</strong> substances us<strong>ed</strong>, lifetime diagnoses do not easily allow for the attributionthat the use <strong>of</strong> multiple substances was temporally coemergent. Therefore,using this threshold to determine multiple-substance abuse may lower its specificity,thus overestimating its prevalence. Past-year prevalence rates are morelikely than lifetime rates to provide higher specificity for identifying personswith concurrent multiple-substance use in a subpopulation identifi<strong>ed</strong> as havingtwo or more SUDs. Unfortunately, few national surveys have present<strong>ed</strong> pastyeardata on substance use comorbidity. However, data from the 11th, 12th,and 13th National Household Surveys on Drug Abuse (NHSDA; n = 87,915)<strong>of</strong>fer an important source <strong>of</strong> epidemiological data on drug-relat<strong>ed</strong> symptoms <strong>of</strong>dependence, using criteria that can be us<strong>ed</strong> to approximate DSM-IV currentSUDs (Kandel, Chen, Warner, Kessler, & Grant, 1997).AdolescentsAdolescent substance users are a subgroup who have been identifi<strong>ed</strong> as high riskfor concurrent polysubstance use, and with that, progression to hazardous use,abuse, or dependence (Brook, Brook, Zhang, Cohen, & Whiteman, 2002).Compar<strong>ed</strong> with older age groups, younger users in treatment settings are morelikely to report polydrug use (Substance Abuse and Mental Health ServicesAdministration [SAMHSA], 2003b). The NHSDA oversamples subjects whoare from 12 to 34 years old, <strong>of</strong>fering community substance use data on adolescentswho are not typically cover<strong>ed</strong> in other national surveys (Kandel et al.,1997). Although males overall are more likely than females to use or be dependentupon alcohol, cannabis, or cocaine, Kandel and colleagues (1997), usingNHSDA data to determine abuse and dependence by proxy, demonstrat<strong>ed</strong> thatthese gender differences for rates <strong>of</strong> use and <strong>of</strong> dependence rates among usersare largely attenuat<strong>ed</strong> among adolescents. Adolescent girls who use alcohol orillicit drugs are at higher risk for dependence than adolescent boys, and amongfemale users <strong>of</strong> alcohol, cannabis, or cocaine, the rates <strong>of</strong> dependence are thehighest in adolescents compar<strong>ed</strong> with older age groups (Kandel et al., 1997).<strong>Clinical</strong> SamplesIn treatment samples, multiple SUDs are common but typically underdiagnos<strong>ed</strong>(Ananth, Vandeater, Kamal, & Brodsky, 1989; Rosenthal, Hellerstein, &Miner, 1992). In general, the risk for comorbid substance use and other mental

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!