Literature DB >> 21963414

Analyses related to the development of DSM-5 criteria for substance use related disorders: 1. Toward amphetamine, cocaine and prescription drug use disorder continua using Item Response Theory.

Tulshi D Saha1, Wilson M Compton, S Patricia Chou, Sharon Smith, W June Ruan, Boji Huang, Roger P Pickering, Bridget F Grant.   

Abstract

BACKGROUND: Prior research has demonstrated the dimensionality of alcohol, nicotine and cannabis use disorders criteria. The purpose of this study was to examine the unidimensionality of DSM-IV cocaine, amphetamine and prescription drug abuse and dependence criteria and to determine the impact of elimination of the legal problems criterion on the information value of the aggregate criteria.
METHODS: Factor analyses and Item Response Theory (IRT) analyses were used to explore the unidimensionality and psychometric properties of the illicit drug use criteria using a large representative sample of the U.S. population.
RESULTS: All illicit drug abuse and dependence criteria formed unidimensional latent traits. For amphetamines, cocaine, sedatives, tranquilizers and opioids, IRT models fit better for models without legal problems criterion than models with legal problems criterion and there were no differences in the information value of the IRT models with and without the legal problems criterion, supporting the elimination of that criterion.
CONCLUSION: Consistent with findings for alcohol, nicotine and cannabis, amphetamine, cocaine, sedative, tranquilizer and opioid abuse and dependence criteria reflect underlying unitary dimensions of severity. The legal problems criterion associated with each of these substance use disorders can be eliminated with no loss in informational value and an advantage of parsimony. Taken together, these findings support the changes to substance use disorder diagnoses recommended by the American Psychiatric Association's DSM-5 Substance and Related Disorders Workgroup. Published by Elsevier Ireland Ltd.

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Year:  2011        PMID: 21963414      PMCID: PMC3272309          DOI: 10.1016/j.drugalcdep.2011.09.004

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  25 in total

1.  The role of alcohol consumption in future classifications of alcohol use disorders.

Authors:  Tulshi D Saha; Frederick S Stinson; Bridget F Grant
Journal:  Drug Alcohol Depend       Date:  2007-01-19       Impact factor: 4.492

2.  Exploring the role of a nicotine quantity-frequency use criterion in the classification of nicotine dependence and the stability of a nicotine dependence continuum over time.

Authors:  Orla McBride; David R Strong; Christopher W Kahler
Journal:  Nicotine Tob Res       Date:  2010-01-15       Impact factor: 4.244

3.  The structure of alcohol dependence in the community.

Authors:  Heather Proudfoot; Andrew J Baillie; Maree Teesson
Journal:  Drug Alcohol Depend       Date:  2005-07-07       Impact factor: 4.492

4.  Toward an alcohol use disorder continuum using item response theory: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Tulshi D Saha; S Patricia Chou; Bridget F Grant
Journal:  Psychol Med       Date:  2006-03-27       Impact factor: 7.723

5.  Psychometric properties of DSM assessments of illicit drug abuse and dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

Authors:  M T Lynskey; A Agrawal
Journal:  Psychol Med       Date:  2007-04-04       Impact factor: 7.723

6.  The construct and measurement equivalence of cocaine and opioid dependences: a National Drug Abuse Treatment Clinical Trials Network (CTN) study.

Authors:  Li-Tzy Wu; Jeng-Jong Pan; Dan G Blazer; Betty Tai; Robert K Brooner; Maxine L Stitzer; Ashwin A Patkar; Jack D Blaine
Journal:  Drug Alcohol Depend       Date:  2009-05-06       Impact factor: 4.492

7.  The dimensionality of alcohol use disorders and alcohol consumption in a cross-national perspective.

Authors:  Guilherme Borges; Yu Ye; Jason Bond; Cheryl J Cherpitel; Mariana Cremonte; Jacek Moskalewicz; Grazyna Swiatkiewicz; Maritza Rubio-Stipec
Journal:  Addiction       Date:  2010-02       Impact factor: 6.526

8.  Dimensionality of DSM-IV nicotine dependence in a national sample: an item response theory application.

Authors:  Tulshi D Saha; Wilson M Compton; Attila J Pulay; Frederick S Stinson; W June Ruan; Sharon M Smith; Bridget F Grant
Journal:  Drug Alcohol Depend       Date:  2010-01-04       Impact factor: 4.492

9.  The role of cannabis use within a dimensional approach to cannabis use disorders.

Authors:  Wilson M Compton; Tulshi D Saha; Kevin P Conway; Bridget F Grant
Journal:  Drug Alcohol Depend       Date:  2008-12-04       Impact factor: 4.492

10.  Factor and item-response analysis DSM-IV criteria for abuse of and dependence on cannabis, cocaine, hallucinogens, sedatives, stimulants and opioids.

Authors:  Nathan A Gillespie; Michael C Neale; Carol A Prescott; Steven H Aggen; Kenneth S Kendler
Journal:  Addiction       Date:  2007-06       Impact factor: 6.526

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  30 in total

1.  Item banks for substance use from the Patient-Reported Outcomes Measurement Information System (PROMIS(®)): Severity of use and positive appeal of use.

Authors:  Paul A Pilkonis; Lan Yu; Nathan E Dodds; Kelly L Johnston; Suzanne M Lawrence; Thomas F Hilton; Dennis C Daley; Ashwin A Patkar; Dennis McCarty
Journal:  Drug Alcohol Depend       Date:  2015-09-21       Impact factor: 4.492

2.  Co-occurrence of alcohol, drug use, DSM-5 alcohol use disorder, and symptoms of drug use disorder on both sides of the U.S.-Mexico border.

Authors:  Guilherme Borges; Sarah Zemore; Ricardo Orozco; Cheryl J Cherpitel; Yu Ye; Jason Bond; Jane Carlisle Maxwell; Lynn Wallisch
Journal:  Alcohol Clin Exp Res       Date:  2015-04       Impact factor: 3.455

3.  Item response theory analyses of DSM-IV and DSM-5 stimulant use disorder criteria in an American Indian community sample.

Authors:  David A Gilder; Ian R Gizer; Philip Lau; Cindy L Ehlers
Journal:  Drug Alcohol Depend       Date:  2013-10-23       Impact factor: 4.492

4.  Inter-observer reliability of DSM-5 substance use disorders.

Authors:  Cécile M Denis; Joel Gelernter; Amy B Hart; Henry R Kranzler
Journal:  Drug Alcohol Depend       Date:  2015-05-27       Impact factor: 4.492

5.  Comparison of 12-step groups to mutual help alternatives for AUD in a large, national study: Differences in membership characteristics and group participation, cohesion, and satisfaction.

Authors:  Sarah E Zemore; Lee Ann Kaskutas; Amy Mericle; Jordana Hemberg
Journal:  J Subst Abuse Treat       Date:  2016-10-06

6.  Ambivalent attendees: Transitions in group affiliation among those who choose a 12-step alternative for addiction.

Authors:  Shiori Tsutsumi; Christine Timko; Sarah E Zemore
Journal:  Addict Behav       Date:  2019-10-19       Impact factor: 3.913

7.  Nosologic Comparisons of DSM-IV and DSM-5 Alcohol and Drug Use Disorders: Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III.

Authors:  Risë B Goldstein; S Patricia Chou; Sharon M Smith; Jeesun Jung; Haitao Zhang; Tulshi D Saha; Roger P Pickering; W June Ruan; Boji Huang; Bridget F Grant
Journal:  J Stud Alcohol Drugs       Date:  2015-05       Impact factor: 2.582

8.  Drug use on both sides of the US-Mexico border.

Authors:  Guilherme Borges; Sarah E Zemore; Ricardo Orozco; Cheryl J Cherpitel; Priscilla Martínez; Lynn Wallisch
Journal:  Salud Publica Mex       Date:  2018 Jul-Aug

9.  Validity of proposed DSM-5 diagnostic criteria for nicotine use disorder: results from 734 Israeli lifetime smokers.

Authors:  D Shmulewitz; M M Wall; E Aharonovich; B Spivak; A Weizman; A Frisch; B F Grant; D Hasin
Journal:  Psychol Med       Date:  2013-01-14       Impact factor: 7.723

10.  Prevalence of DSM-IV and DSM-5 alcohol, cocaine, opioid, and cannabis use disorders in a largely substance dependent sample.

Authors:  Kyle Peer; Lior Rennert; Kevin G Lynch; Lindsay Farrer; Joel Gelernter; Henry R Kranzler
Journal:  Drug Alcohol Depend       Date:  2012-08-09       Impact factor: 4.492

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