Characteristics of an outpatient treatment sample by primary substance of abuse

Journal of Addiction Medicine

Volumn 7, Issue 5, 2013, Pages 363-371

  Campbell, Aimee N C ^a   Nunes, Edward V ^a   McClure, Erin A ^b   Hu, Mei Chen ^c   Turrigiano, Eva ^d   Goldman, Bruce ^e   Stabile, Patricia Q ^f  

^a NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^b Department of Psychiatry and Behavioral Sciences ^*  (United States)

^c MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^d New York State Psychiatric Institute ^*  (United States)

^e Orthopedic Service Line Northshore Long Island Jewish Health System   (United States)

^f Harbel Prevention and Recovery Center   (United States)

Author keywords

Computer assisted treatment; Effectiveness trial; Patient characteristics; Substance use disorders

Indexed keywords

ADULT; ALCOHOL ABUSE; ALCOHOLISM; ARTICLE; CANNABIS ADDICTION; CLINICAL EFFECTIVENESS; COMPUTER ASSISTED THERAPY; CRIMINAL JUSTICE; FEMALE; HELP SEEKING BEHAVIOR; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTICENTER STUDY; MULTIPLE DRUG ABUSE; OPIATE ADDICTION; OUTPATIENT CARE; PRIORITY JOURNAL; PSYCHOSOCIAL CARE; SOCIAL PSYCHOLOGY; SUBSTANCE ABUSE; UNITED STATES; UNSAFE SEX;

ADULT; AMBULATORY CARE; DEMOGRAPHY; FEMALE; HEALTH STATUS DISPARITIES; HUMANS; MALE; MASS SCREENING; MIDDLE AGED; OUTPATIENTS; PSYCHIATRIC STATUS RATING SCALES; PSYCHOTROPIC DRUGS; RISK FACTORS; SOCIAL SUPPORT; SOCIOECONOMIC FACTORS; SUBSTANCE-RELATED DISORDERS; UNITED STATES;

EID: 84887911110     PISSN: 19320620     EISSN: 19353227     Source Type: Journal    
DOI: 10.1097/ADM.0b013e31829e3971     Document Type: Article

References (41)

1. Agosti V, Nunes EV, Ocepeck-Welikson K. Patient factors related to early attrition from an outpatient cocaine research clinic. Am J Drug Alcohol Abuse 1996;22(1):29-39
2. Ball SA, Van Horn D, Crits-Christoph P, et al. Site matters: multisite randomized trial of motivational enhancement therapy in community drug abuse clinics. J Consult Clin Psychol 2007;75:556-567
3. Bickel WK, Marsch LA, Buchhalter A, et al. Computerized behavior therapy for opioid dependent outpatients: a randomized, controlled trial. Exp Clin Psychopharmocol 2008;16:132-143
4. Booth RE, Watters JK, Chitwood DD. HIV risk-related sex behaviors among injection drug users, crack smokers, and injection drug users who smoke crack. Am J Public Health 1993;83:1144-1148
5. Campbell ANC, Nunes EV, Miele GM, et al. Design and methodological considerations of an effectiveness trial of a computer-assisted intervention: an example from the NIDA Clinical Trials Network. Contemp Clin Trials 2012;33(2):386-395
6. Carroll KM, Ball SA, Nich C, et al. Motivational interviewing to improve treatment engagement and outcome in individuals seeking treatment for substance abuse: a multisite effectiveness study. Drug Alcohol Depend 2006;81:310-312.
7. Carroll KM, Rounsaville BJ. Computer-assisted therapy in psychiatry: be brave-it's a new world. Curr Psychiatry Rep 2010;12(5):426-432
8. Colfax G, Shoptaw S. The methamphetamine epidemic: implications for HIV prevention and treatment. Curr HIV/AIDS Rep 2005;2(4):194-199
9. Compton WM, Grant BF, Colliver JD, et al. Prevalence of marijuana use disorders in the United States: 1991-1992 and 2001-2002. JAMA 2004;291:2114-2121
10. Compton WM, Thomas YF, Stinson FS, et al. Prevalence, correlates, disability, and co-morbidity of DSM-4 drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry 2007;64(5):566-576
11. Craddock SG, Rounds-Bryant JL, Flynn PM, et al. Characteristics and pretreatment behaviors of clients entering drug abuse treatment: 1969-1993. Am J Drug Alcohol Abuse 1997;23(1):45-59
12. Degenhardt L, Mathers B, Guarinieri M, et al. The Global Epidemiology of Methamphetamine Injection: A Review of the Evidence on Use and Associations With HIV and Other Harm. Sydney, Australia: National Drug and Alcohol Research Centre, University of NSW, 2007
13. EuroQol Group. EuroQol-a new facility for the measurement of healthrelated quality of life. Health Policy 1990;16(3):199-208
14. Flynn PM, Brown BS. Co-occurring disorders in substance abuse treatment: issues and prospects. J Subst Abuse Treat 2008;34:36-47
15. Hasin DS, Stinson FS, Ogburn E, et al. Prevalence, correlates, disability, and comorbidity of DSM-4 alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry 2007;64(7):830-842
16. Heatherton TF, Kozlowski LT, Frecker RC, et al. The Fagerstrom Test for nicotine dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict 1991;86(9):1119-1127
17. Higgins ST, Budney AJ, Bickel WK, et al. Incentives improve outcome in outpatient behavioral treatment of cocaine dependence. Arch Gen Psychiatry 1994;51:568-576
18. Horey JT, Mariani JJ, Cheng WY, et al. Comparison of substance use milestones in cannabis- and cocaine-dependent patients. J Addict Dis 2012;31(1):60-66
19. Hudziak JJ, Helzer JE, Wetzel WW, et al. The use of the DSM-3-R checklist for initial diagnostic assessment. Compr Psychiatry 1993;34(6):375-383
20. Jansen J. Use of the Internet in Higher-Income Households. Washington, DC: Pew Research Center's Internet & American Life Project. Available at: http://pewinternet.org/Reports/2010/Better-off-households.aspx. Published 2010. Accessed June 21, 2013
21. Kessler RC, Nelson CB, McGonagle KA, et al. The epidemiology of cooccurring addictive and mental disorders: implications for prevention and service utilization. Am J Orthopsychiatry 1996;66(1):17-31
22. Levin FR, Brooks DJ, Bisaga A, et al. Severity of dependence and motivation for treatment: comparison of marijuana- and cocaine-dependent treatment seekers. J Addict Dis 2006;25:33-41
23. Mancino M, Curran G, Han X, et al. Predictors of attrition from a national simple of methadone maintenance patients. Am J Drug Alcohol Abuse 2010;36(3):155-160
24. Marsch LA, Dallery J. Advances in the psychosocial treatment of addiction: the role of technology in the delivery of evidence-based psychosocial treatment. Psychiatr Clin North Am 2012;35(2):481-493
25. Moore BA, Fazzino T, Garnet B, et al. Computer-based interventions for drug use disorders: a systematic review. J Subst Abuse Treat 2011;40(3):215-223
26. Nunes E, Ball S, Booth G, et al. Multisite effectiveness trials of treatments for substance abuse and co-occurring problems: have we chosen the right designs? J Subst Abuse Treat 2010;38(suppl 1):S97-S112
27. Onken LS, Blaine JD, Boren JJ, eds. Beyond the Therapeutic Alliance: Keeping the Drug-Dependent Individual in Treatment. Rockville, MD: National Institute on Drug Abuse, 1997. NIDA Research Monograph. NIH Publication: 97-4142165
28. Peirce JM, Petry NM, Stitzer ML, 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 2006;63(2):201-208
29. Petry NM, Peirce JM, Stitzer ML, et al. Effect of prize-based incentives on outcomes in stimulant abusers in outpatient psychosocial treatment programs: a NationalDrugAbuse Treatment Clinical Trials Network study. Arch Gen Psychiatry 2005;62:1148-1156
30. Rosengren DB, Downey L, Donovan DM. "I already stopped": abstinence prior to treatment. Addiction 2000;95(1):65-76
31. Smith A. Nearly Half of American Adults are Smartphone Owners. Washington, DC: Pew Research Center's Internet & American Life Project. Available at: http://pewinternet.org/Reports/2012/Smartphone-Update-2012.aspx. Published 2012. Accessed June 21, 2013
32. Sobell LC, Sobell MB. Timeline follow-back: a technique for assessing selfreported ethanol consumption. In: Allen J, Litten RZ, eds. Measuring Alcohol Consumption: Psychosocial and Biological Methods. Totowa,NJ: Humana Press, 1992:41-72
33. Sorensen JL, Copeland AL. Drug abuse treatment as an HIV prevention strategy: a review. Drug Alcohol Depend 2000;59(1):17-31
34. Spitzer RL, Kroenke K, Williams JBW. Validation and utility of a selfreport version of PRIME-MD: the PHQ Primary Care Study. JAMA 1999;282(18):1737-1744
35. Stitzer ML, Petry NM, Peirce JM. Motivational incentives research in the National Drug Abuse Treatment Clinical Trials Network. J Subst Abuse Treat 2010;38(S1):S61-S69
36. Substance Abuse and Mental Health Services Administration. Treatment Episode Data Set (TEDS), 1999-2009. National Admissions to Substance Substance Abuse and Mental Health Services Administration. Treatment Episode Data Set (TEDS), 1999-2009. National Admissions to Substance Abuse Treatment Services. DASIS Series: S-56, HHS Publication No. (SMA) 11-4646. Rockville, MD: Substance Abuse and Mental Health Services Administration, 2011
37. Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics andQuality. Treatment Episode Data Set (TEDS): 2000-2010. National Admissions to Substance Abuse Treatment Services. DASIS Series: S-61, HHS Publication No. (SMA) 12-4671. Rockville, MD: Substance Abuse and Mental Health Services Administration, 2012.
38. Szende A, Williams A. Measuring Self-reported Population Health: An International Perspective Based on EQ-5D. Available at: http://www.euroqol.org/ fileadmin/user-upload/Documenten/PDF/Books/Measuring-Self-Reported-Population- Health-AnInternational-Perspective-based-on-EQ-5D.pdf. Published 2004. Accessed September 18, 2012
39. Volkow ND, Wang GJ, Fowler JS, et al. Stimulant-induced enhanced sexual desire as a potential contributing factor in HIV transmission. Am J Psychiatry 2007;164(1):157-160
40. Watkins KE, Hunter SB, Wenzel SL, et al. Prevalence and characteristics of clients with co-occurring disorders in outpatient substance abuse treatment. Am J Drug Alcohol Abuse 2004;30(4):749-764
41. clients with co-occurring disorders in outpatient substance abuse treatment. Am J Drug Alcohol Abuse 2004;30(4):749-764. WeissmanMM.Social Adjustment Scale-Self Report.North Tonawanda, NY: MHS, 1999