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

Drug and Alcohol Dependence

Volumn 103, Issue 3, 2009, Pages 114-123

  Wu, Li Tzy ^a   Pan, Jeng Jong ^b   Blazer, Dan G ^a   Tai, Betty ^c   Brooner, Robert K ^d   Stitzer, Maxine L ^d   Patkar, Ashwin A ^a   Blaine, Jack D ^c  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b VETERANS AFFAIRS MEDICAL CENTER   (United States)

^c NATIONAL INSTITUTE ON DRUG ABUSE   (United States)

^d JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Clinical trials network; Cocaine dependence; DSM IV Checklist; Item response theory; Multiple indicators multiple causes; Opioid dependence

Indexed keywords

ALCOHOL; AMPHETAMINE; CANNABIS; COCAINE; METHADONE; OPIATE;

ADULT; ALCOHOL ABUSE; ARTICLE; CANNABIS ADDICTION; COCAINE DEPENDENCE; COMORBIDITY; CONTROLLED STUDY; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; DISEASE SEVERITY; DRUG ABUSE; FEMALE; HELP SEEKING BEHAVIOR; HUMAN; MAJOR CLINICAL STUDY; MALE; METHADONE TREATMENT; OPIATE ADDICTION; PRIORITY JOURNAL; PSYCHOLOGIC ASSESSMENT; SELF REPORT; SYMPTOM; UNITED STATES;

ADULT; BIAS (EPIDEMIOLOGY); COCAINE-RELATED DISORDERS; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; OPIOID-RELATED DISORDERS; PSYCHOMETRICS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SEVERITY OF ILLNESS INDEX;

EID: 67349160996     PISSN: 03768716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.drugalcdep.2009.01.018     Document Type: Article

References (50)

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. fourth ed. (1994), American Psychiatric Publishing, Washington, DC
2. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Text Revision. fourth ed. (2000), American Psychiatric Publishing, Washington, DC
3. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Text Revision. third ed. (1987), American Psychiatric Publishing, Washington, DC
4. Anthony J.C., Warner L.A., and Kessler R.C. Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants: basic findings from the National Comorbidity Survey. Exp. Clin. Psychopharmacol. 2 (1994) 244-268
5. Babor T., Steinberg K., Anton R., and Del Boca F. Talk is cheap: measuring drinking outcomes in clinical trials. J. Stud. Alcohol 61 (2000) 55-63
6. Baker F. The basics of item response theory. ERIC Clearinghouse on Assessment and Evaluation (2001), University of Maryland, College Park, MD
7. Blanco C., Harford T.C., Nunes E., Grant B., and Hasin D. The latent structure of marijuana and cocaine use disorders: results from the National Longitudinal Alcohol Epidemiologic Survey (NLAES). Drug Alcohol Depend. 91 (2007) 91-96
8. Brooner R.K., King V.L., Kidorf M.S., Schmidt C.W., and Bigelow G.E. Psychiatric and substance use comorbidity in treatment-seeking opioid abusers. Arch. Gen. Psychiatry 54 (1997) 71-80
9. Browne M.W., and Cudeck R. Alternative ways of assessing model fit. In: Bollen K.A., and Long J.S. (Eds). Testing Structural Equation Models (1993), Sage Publications, Newbury Park, CA 136-162
10. Bryant K.J., Rounsaville B.J., and Babor T.F. Coherence of the dependence syndrome in cocaine users. Br. J. Addict. 86 (1991) 1299-1310
11. Carroll K.M. New methods of treatment efficacy research: bridging clinical research and clinical practice. Alcohol. Health Res. World 21 (1997) 352-359
12. Cattell R.B. The scree test for the number of factors. Multiv. Behav. Res. 1 (1996) 245-276
13. Chen C.Y., and Anthony J.C. Possible age-associated bias in reporting of clinical features of drug dependence: epidemiological evidence on adolescent-onset marijuana use. Addiction 98 (2003) 71-82
14. Condelli W.S., Fairbank J.A., Dennis M.L., and Rachal J.V. Cocaine use by clients in methadone programs: significance, scope, and behavioral interventions. J. Subst. Abuse Treat. 8 (1991) 203-212
15. Disney E.R., Kidorf M., King V.L., Neufeld K., Kolodner K., and Brooner R.K. Prevalence and correlates of cocaine physical dependence subtypes using the SM-IV in outpatients receiving opioid agonist medication. Drug Alcohol Depend. 79 (2005) 23-32
16. Edwards G. Substance dependence and substance-related problems: an agenda-setting debate. A further commentary on Li et al. (2007). Addiction 103 (2008) 179-180
17. Edwards G., and Gross M.M. Alcohol dependence: provisional description of a clinical syndrome. Br. Med. J. 1 (1976) 1058-1061
18. Embretson S.E., and Reise S.P. Item Response Theory for Psychologists (2000), Lawrence Erlbaum, Mahwah, NJ
19. Feingold A., and Rounsaville B. Construct validity of the dependence syndrome as measured by DSM-IV for different psychoactive substances. Addiction 90 (1995) 1661-1669
20. Forman R.F., Svikis D., Montoya I.D., and Blaine J. Selection of a substance use disorder diagnostic instrument by the National Drug Abuse Treatment Clinical Trials Network. J. Subst. Abuse Treat. 27 (2004) 1-8
21. Gillespie N.A., Neale M.C., Prescott C.A., Aggen S.H., and Kendler K.S. Factor and item-response analysis DSM-IV criteria for abuse of and dependence on cannabis, cocaine, hallucinogens, sedatives, stimulants and opioids. Addiction 102 (2007) 920-930
22. Grant B.F., Harford T.C., Muthén B.O., Yi H.Y., Hasin D.S., and Stinson F.S. DSM-IV alcohol dependence and abuse: further evidence of validity in the general population. Drug Alcohol Depend. 86 (2007) 154-166
23. Hambleton R.K., Swaminathan H., and Rogers H.J. Fundamentals of Item Response Theory (1991), Sage Publications, Inc., Newbury Park, CA
24. Hanson, B.A., 2002. IRT Command Language (ICL). Accessed on August 8, 2007 at http://www.b-a-h.com/software/irt/icl/.
25. Helzer J.E., Bucholz K.K., and Gossop M. A dimensional option for the diagnosis of substance dependence in DSM-V. Int. J. Methods Psychiatr. Res. 16 Suppl. 1 (2007) S24-S33
26. Hu L., and Bentler P.M. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Eq. Model. 6 (1999) 1-55
27. Hughes J.R. Should criteria for drug dependence differ across drugs?. Addiction 101 Suppl. 1 (2006) 134-141
28. Johnson T.P., Cho Y.I., Holbrook A.L., O'Rourke D., Warnecke R.B., and Chavez N. Cultural variability in the effects of question design features on respondentcomprehension of health surveys. Ann. Epidemiol. 16 (2006) 661-668
29. Kampman K.M., Volpicelli J.R., Mulvaney F., Alterman A.I., Cornish J., Gariti P., Cnaan A., Poole S., Muller E., Acosta T., Luce D., and O'Brien C. Effectiveness of propranolol for cocaine dependence treatment may depend on cocaine withdrawal symptom severity. Drug Alcohol Depend. 63 1 (2001) 69-78
30. Koob G.F., and Le Moal M. Neurobiology of Addiction (2006), Academic Press (Elsevier), London
31. Kosten T.R., Rounsaville B.J., Babor T.F., Spitzer R.L., and Williams J.B. Substance-use disorders in DSM-III-R. Evidence for the dependence syndrome across different psychoactive substances. Br. J. Psychiatry 151 (1987) 834-843
32. Langenbucher J.W., Labouvie E., Martin C.S., Sanjuan P.M., Bavly L., Kirisci L., and Chung T. An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV. J. Abnorm. Psychol. 113 (2004) 72-80
33. Leri F., Bruneau J., and Stewart J. Understanding polydrug use: review of heroin and cocaine co-use. Addiction 98 (2003) 7-22
34. Lynskey M.T., and Agrawal A. Psychometric properties of DSM assessments of illicit drug abuse and dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Psychol Med. 37 (2007) 1345-1355
35. McHorney C.A., and Fleishman J.A. Assessing and understanding measurement equivalence in health outcome measures. Issues for further quantitative and qualitative inquiry. Med. Care 44 (2006) S205-S210
36. Morgenstern J., Langenbucher J., and Labouvie E.W. The generalizability of the dependence syndrome across substances: an examination of some properties of the proposed DSM-IV dependence criteria. Addiction 89 (1994) 1105-1113
37. Muthén B.O., and Muthén L.K. Mplus: Statistical Analysis with Latent Variables (Version 4.2.1) (2007), Muthén and Muthén Inc., Los Angeles, CA
38. Peirce J.M., Petry N.M., Stitzer M.L., et al. Effects of lower-cost incentives on stimulant abstinence in methadone maintenance treatment: a National Drug Abuse Treatment Clinical Trials Network study. Arch. Gen. Psychiatry 63 (2006) 201-208
39. Petry N.M., Peirce J.M., Stitzer M.L., Blaine J., Roll J.M., Cohen A., Obert J., Killeen T., Saladin M.E., Cowell M., Kirby K.C., Sterling R., Royer-Malvestuto C., Hamilton J., Booth R.E., Macdonald M., Liebert M., Rader L., Burns R., DiMaria J., Copersino M., Stabile P.Q., Kolodner K., and Li R. Effect of prize-based incentives on outcomes in stimulant abusers in outpatient psychosocial treatment programs: a National Drug Abuse Treatment Clinical Trials Network study. Arch. Gen. Psychiatry 62 (2005) 1148-1156
40. Rawson R.A., Marinelli-Casey P., Anglin M.D., Dickow A., Frazier Y., Gallagher C., Galloway G.P., Herrell J., Huber A., McCann M.J., Obert J., Pennell S., Reiber C., Vandersloot D., Zweben J., and Methamphetamine Treatment Project Corporate Authors. A multi-site comparison of psychosocial approaches for the treatment of methamphetamine dependence. Addiction 99 (2004) 708-717
41. Repetto M., and Gold M.S. Cocaine and crack: neurobiology. In: Lowinson J.H., Ruiz P., Millman R.B., and Langrod J.G. (Eds). Substance Abuse: A Comprehensive Textbook. fourth ed. (2005), Lippincott Williams & Wilkins, Philadelphia
42. Saha T.D., Chou S.P., and Grant B.F. Toward an alcohol use disorder continuum using item response theory: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychol. Med. 36 (2006) 931-941
43. Saunders J.B., and Schuckit M.A. The development of a research agenda for substance use disorders diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V). Addiction 101 Suppl. 1 (2006) 1-5
44. Schuckit M.A., Daeppen J.B., Danko G.P., Tripp M.L., Smith T.L., Li T.K., Hesselbrock V.M., and Bucholz K.K. Clinical implications for four drugs of the DSM-IV distinction between substance dependence with and without a physiological component. Am. J. Psychiatry 156 (1999) 41-49
45. Substance Abuse and Mental Health Services Administration, Office of Applied Studies, 2008. Treatment Episode Data Set (TEDS). Highlights-2006. National Admissions to Substance Abuse Treatment Services, DASIS Series: S-40, DHHS Publication No. (SMA) 08-4313, U.S. Department of Health and Human Services, Rockville, MD.
46. Warnecke R.B., Johnson T.P., Chávez N., Sudman S., O'Rourke D.P., Lacey L., and Horm J. Improving question wording in surveys of culturally diverse populations. Ann. Epidemiol. 7 (1997) 334-342
47. World Health Organization, 1992. International Classification of Diseases, 10th rev (ICD-10). World Health Organization, Geneva. Available at: http://www.who.int/classifications/apps/icd/icd10online/ (accessed July 22, 2008).
48. Wu L.T., Blazer D.G., Stitzer M.L., Patkar A.A., and Blaine J.D. Infrequent illicit methadone use among stimulant-using patients in methadone maintenance treatment programs: a National Drug Abuse Treatment Clinical Trials Network study. Am. J. Addict. 17 (2008) 304-311
49. Wu L.T., Pan J.J., Blazer D.G., Tai B., Stitzer M.L., Brooner R.K., Woody G.E., Patkar A.A., and Blaine J.D. An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study. J. Stud. Alcohol Drugs 70 (2009) 414-425
50. Zimowski M., Muraki E., Mislevy R., and Bock D. The BILOG-MG3 Statistical Program (2005), Scientific Software International, Inc., Lincolnwood, IL