Drug Abuse

  • Jessica F. Magidson
  • Marina A. Bornovalova
  • Stacey B. DaughtersEmail author


In this chapter, we aim to present a framework for the assessment and diagnosis of drug abuse and dependence with an emphasis on integrating a dimensional approach into the traditional categorical system that currently provides the basis for the majority of our established diagnostic interviewing tools. The aim of supplementing categorical diagnoses with dimensional tools is to provide a broader clinical picture of symptomatology extending beyond whether or not an individual meets criteria for dependence or abuse. Specifically, a dimensional approach can provide further information in substance use disorders (SUDs) on the frequency and degree of use, associated impairment, as well as comorbid symptomatology that may co-occur with drug use. Using such information to supplement a diagnosis of drug dependence or abuse can enable a more individualized treatment plan that not only targets the psychological underpinnings of substance use but also the consequences of use as well. We take a clinical approach to the presentation of information, approaching diagnostic assessment comprehensively with four stages: screening, diagnostic assessment, dimensional assessment, and assessing treatment response. In sum, this chapter can be used as a clinical tool for the diagnosis of drug abuse and dependence at multiple stages, encompassing a broader scope beyond traditional methods of categorical diagnosis.


Major Depressive Disorder Borderline Personality Disorder Substance Dependence Diagnostic Assessment Borderline Personality Disorder 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Ali, R., Awwad, E., Babor, T., et al. (2002). The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): Development, reliability and feasibility. Addiction, 97, 1183-1194.CrossRefGoogle Scholar
  2. Al-Issa, I. (1997). The psychology of prejudice and discrimination. In I. Al-Issa & M. Tousignant (Eds.), Ethnicity, immigration and psychopathology (pp. 17-32). New York, NY: Plenum.Google Scholar
  3. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (DSM IV-TR) (4th ed.). Washington, DC: American Psychiatric Association.Google Scholar
  4. Avants, S. K., Marcotte, D., Arnold, R., & Margolin, A. (2003). Spiritual beliefs, world assumptions, and HIV risk behavior among heroin and cocaine users. Psychology of Addictive Behaviors, 17(2), 159-162.PubMedCrossRefGoogle Scholar
  5. Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to prefrontal cortex. Cognition, 50, 7-15.PubMedCrossRefGoogle Scholar
  6. Beck, A. T. (1993). Manual for Beck Hopelessness Scale. San Antonio, TX: Psychological Corporation.Google Scholar
  7. Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(6), 893-897.PubMedCrossRefGoogle Scholar
  8. Beck, A. T., & Steer, R. A. (1990). Manual for the Beck Anxiety Inventory. San Antonio, TX: The Psychological Corporation.Google Scholar
  9. Beck, A. T., Steer, R., & Ball, G. (1996). Beck Depression Inventory-II. San Antonio, TX: The Psychological Corporation.Google Scholar
  10. Beck, A. T., Weissman, A., Lester, D., & Trexler, L. (1974). The measurement of pessimism: The Hopelessness Scale. Journal of Consulting and Clinical Psychology, 42, 861-865.PubMedCrossRefGoogle Scholar
  11. Belenko, S., & Peugh, J. (2005). Estimating drug treatment needs among state prison inmates. Drug and Alcohol Dependence, 77(3), 269-281.PubMedCrossRefGoogle Scholar
  12. Berman, A., Bergman, H., Palmstierna, T., & Schlyter, F. (2005). Evaluation of the drug use disorders identification test (DUDIT) in criminal justice and detoxification settings and in a Swedish population sample. European Addiction Research, 11(1), 22-31.PubMedCrossRefGoogle Scholar
  13. Blake, D. D., Weathers, F. W., Nagy, L. M., Kaloupek, D. G., Gusman, F. D., Charney, D. S., et al. (1995). The development of a Clinician-Administered PTSD scale. Journal of Traumatic Stress, 8, 75-90.PubMedCrossRefGoogle Scholar
  14. Blanchard, E. B., Jones-Alexander, J., Buckley, T. C., & Forneris, C. A. (1996). Psychometric properties of the PTSD Checklist (PCL). Behaviour Research and Therapy, 34, 669-673.PubMedCrossRefGoogle Scholar
  15. Bornovalova, M. A., Gratz, K. L., Daughters, S. B., Nick, B., Delany-Brumsey, A., Lynch, T. R., et al. (2008). A multimodal assessment of the relationship between emotion dysregulation and borderline personality disorder among inner-city substance users in residential treatment. Journal of Psychiatric Research, 42(9), 717-726.PubMedCrossRefGoogle Scholar
  16. T. M. Brady & O. S. Ashley (Eds.). (2005). Women in substance abuse treatment: Results from the Alcohol and Drug Services Study (ADSS). Analytic series A-26. DHHS Pub. No. SMA 04-3968. Rockville, MD: Substance Abuse and Mental Health Services Administration (SAMHSA), Office of Applied Studies.Google Scholar
  17. Brandon, T. H., Herzog, T. A., Juliano, L. M., Irvin, J. E., Lazev, A. B., & Simmons, V. N. (2003). Pretreatment task-persistence predicts smoking cessation outcome. Journal of Abnormal Psychology, 112, 448-456.PubMedCrossRefGoogle Scholar
  18. Bride, B. E. (2001). Single-gender treatment of substance abuse: Effect on treatment retention and completion. Social Work Research, 25(4), 223-232.Google Scholar
  19. Brooner, R. K., King, V. L., Kidorf, M., Schmidt, C. W., & Bigelow, G. E. (1997). Psychiatric and substance use comorbidity among treatment-seeking opioid abusers. Archives of General Psychiatry, 54(1), 71-80.PubMedGoogle Scholar
  20. Bryant, K., Rounsaville, B., Spitzer, R., & Williams, J. (1992). Journal of Nervous and Mental Disease, 180(4), 251-257.PubMedCrossRefGoogle Scholar
  21. Bryer, J. B., Martines, K. A., & Dignan, M. A. (1990). Million Clinical Multiaxial Inventory Alcohol Abuse and Drug Abuse scales and the identification of substance-abuse patients. Psychological Assessment, 4, 438-441.Google Scholar
  22. Butler, S. F., Budman, S. H., & Fernandez, K. (2004). Validation of a screener and opioid assessment measure for patients with chronic pain. Pain, 112(1-2), 65-75.PubMedCrossRefGoogle Scholar
  23. Carlson, S. R., McLarnon, M. E., & Iacono, W. G. (2007). P300 amplitude, externalizing psychopathology, and earlier- versus later-onset substance-use disorder. Journal of Abnormal Psychology, 116(3), 565-577.PubMedCrossRefGoogle Scholar
  24. Center for Substance Abuse Treatment (1994). Simple screening instruments for outreach for alcohol and other drug abuse and infectious diseases, Treatment Improvement Protocol (TIP) Series 11. DHHS Publication No. SMA 03-3803. Rockville, MD: SAMHSA.Google Scholar
  25. Coffey, S. F., Gudleski, G. D., Saladin, M. E., & Brady, K. T. (2003). Impulsivity and rapid discounting of delayed hypothetical rewards in cocaine-dependent individuals. Experimental and Clinical Psychopharmacology, 11, 18-25.PubMedCrossRefGoogle Scholar
  26. Compton, P., Darakjian, J., & Miotto, K. (1998). Screening for addiction in patients with chronic pain and ‘problematic’ substance use: Evaluation of a pilot assessment tool. Journal of Pain and Symptom Management, 16(6), 355-363.PubMedCrossRefGoogle Scholar
  27. Cooney, N. L., Zweben, A., & Fleming, M. F. (1995). Handbook of alcoholism treatment approaches. In R. K. Hester & W. R. Miller (Eds.) Effective alternatives (2nd ed., pp. 45-60). Needham Heights, MA: Allyn & Bacon.Google Scholar
  28. Cottler, L. B., Nishith, P., & Compton, W. M. (2001). Gender differences in risk factors for trauma exposure and post-traumatic stress disorder among inner-city drug abusers in and out of treatment. Comprehensive Psychiatry, 42, 11-117.CrossRefGoogle Scholar
  29. Dansky, B. S., Brady, K. T., Saladin, M. E., & Killeen, T. (1996). Victimization and PTSD in individuals with substance use disorders: Gender and racial differences. American Journal of Drug and Alcohol Abuse, 22(1), 75-93.PubMedCrossRefGoogle Scholar
  30. Daughters, S. B., Lejuez, C. W., Bornovalova, M. A., Kahler, C. W., Strong, D. R., & Brown, R. A. (2005). Distress tolerance as a predictor of early treatment dropout in a residential substance abuse treatment facility. Journal of Abnormal Psychology, 114(4), 729-734.PubMedCrossRefGoogle Scholar
  31. Daughters, S. B., Reynolds, E. K., MacPherson, L., Kahler, C. W., Danielson, C. K., Zvolensky, M., et al. (2009). Distress tolerance and early adolescent externalizing and internalizing symptoms: The moderating role of gender and ethnicity. Behavior Research and Therapy, 47(3), 198-205.CrossRefGoogle Scholar
  32. Daughters, S. B., Sargeant, M. N., Bornovalova, M. A., Gratz, K. L., & Lejuez, C. W. (2008). The relationship between distress tolerance and antisocial personality disorder among male inner-city treatment seeking substance users. Journal of Personality Disorders, 22(5), 509-524.PubMedCrossRefGoogle Scholar
  33. Fals-Stewart, W., O’Farrell, T., Freitas, T., McFarlin, S., & Rutigliano, P. (2000). The Timeline Followback reports of psychoactive substance use by drug-abusing patients: Psychometric properties. Journal of Consulting and Clinical Psychology, 68(1), 134-144.PubMedCrossRefGoogle Scholar
  34. Farley, M., Golding, J. M., Young, G., Mulligan, M., & Minkoff, J. R. (2004). Trauma history and relapse probability among patients seeking substance abuse treatment. Journal of Substance Abuse Treatment, 27(2), 161-167.PubMedCrossRefGoogle Scholar
  35. Fergusson, D., & Horwood, L. (2002). Male and female offending trajectories. Development and Psychopathology, 14(1), 159-177.PubMedCrossRefGoogle Scholar
  36. Fillmore, M. T., & Rush, C. R. (2002). Impaired inhibitory control of behavior in chronic cocaine users. Drug and Alcohol Dependence, 66(3), 265-273.PubMedCrossRefGoogle Scholar
  37. Fillmore, M. T., Rush, C. R., & Hays, L. (2002). Acute effects of oral cocaine on inhibitory control of behavior in humans. Drug and Alcohol Dependence, 67(2), 157-167.PubMedCrossRefGoogle Scholar
  38. First, M. B., Spitzer, R. I., Gibbon, M., & Williams, J. B. W. (1997). Structured Clinical Interview for DSM-IV Axis I Clinical Disorders (SCID-I). Washington, DC: American Psychiatric Press.Google Scholar
  39. Forman, R. F., Svikis, D., Montoya, I. D., & Blaine, J. (2004). Selection of a substance use disorder diagnostic instrument by the National Drug Abuse Treatment Clinical Trials Network. Journal of Substance Abuse Treatment, 27, 1-8.PubMedCrossRefGoogle Scholar
  40. Friedman, A., Glassman, K., & Terras, A. (2001). Violent behavior as related to use of marijuana and other drugs. Journal of Addictive Diseases, 20(1), 49-72.PubMedCrossRefGoogle Scholar
  41. Gastfriend, D. R. (ed). (2004). Addiction treatment matching: Research foundations of the American Society of Addiction Medicine (ASAM). Binghamton, NY: Haworth Press.Google Scholar
  42. Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the Difficulties in Emotion Regulation Scale (DERS). Journal of Psychopathology and Behavioral Assessment, 26(1), 41-54.CrossRefGoogle Scholar
  43. Green, C. A., Polen, M. R., Dickinson, D. M., Lynch, F. L., & Bennett, M. D. (2002). Gender differences in predictors of initiation, retention, and completion in an HMO-based substance abuse treatment program. Journal of Substance Abuse Treatment, 23(4), 285-295.PubMedCrossRefGoogle Scholar
  44. Greenfield, S. F., Weiss, R. D., Muenz, L. R., Vagge, L. M., Kelly, J. F., Bello, L. R., et al. (1998). The effect of depression on return to drinking: A prospective study. Archives of General Psychiatry, 55(3), 259-265.PubMedCrossRefGoogle Scholar
  45. Greenfield, S. F., Kolodziej, M. E., Sugarman, D. E., Muenz, L. R., Vagge, L. M., He, D. Y., et al. (2002). History of abuse and drinking outcomes following inpatient alcohol treatment: A prospective study. Drug and Alcohol Dependence, 67(3), 227-234.PubMedCrossRefGoogle Scholar
  46. Hasin, D., Samet, S., Nunes, E., Meydan, J., Matseoane, K., & Waxman, R. (2006). Diagnosis of comorbid psychiatric disorders in substance users assessed with the Psychiatric Research Interview for Substance and Mental Disorder for DSM-IV. American Journal of Psychiatry, 163(4), 689-696.PubMedCrossRefGoogle Scholar
  47. Hasin, D. S., Trautman, K. D., Miele, G. M., Samet, S., Smith, M., & Endicott, J. (1996). Psychiatric Research Interview for Substance Use and Mental Disorders (PRISM): Reliability for substance abusers. American Journal of Psychiatry, 153(9), 1195-1201.PubMedGoogle Scholar
  48. Helzer, J. E., Kraemer, H. C., & Krueger, R. F. (2006). The feasibility and need for dimensional psychiatric diagnoses. Psychological Medicine, 36(12), 1671-1680.PubMedCrossRefGoogle Scholar
  49. Hernandez-Avila, C. A., Rounsaville, B. J., & Kranzler, H. R. (2004). Opioid-, cannabis- and alcohol-dependent women show more rapid progression to substance abuse treatment. Drug and Alcohol Dependence, 74(3), 265-272.PubMedCrossRefGoogle Scholar
  50. Holdcraft, L. C., & Iacono, W. G. (2004). Cross-generational effects on gender differences in psychoactive drug abuse and dependence. Drug and Alcohol Dependence, 74(2), 147-158.PubMedCrossRefGoogle Scholar
  51. Hser, Y. I., Grella, C. E., Chou, C. P., & Anglin, M. D. (1998). Relationships between drug treatment careers and outcomes: findings from the National Drug Abuse Treatment Outcome Study. Evaluation Review, 22, 496-519.CrossRefGoogle Scholar
  52. Hser, Y., Huang, Y., Teruga, C., & Anglin, M. D. (2004). Gender differences in treatment outcomes over a three-year period: A path model analysis. Journal of Drug Issues, 34, 419-440.Google Scholar
  53. Julien, R. M. (2005). A primer of drug action (10th ed.). New York, NY: Macmillan.Google Scholar
  54. Kessler, R. C., Crum, R. M., Warner, L. A., Nelson, C. B., Schulenberg, J., & Anthony, J. C. (1997). The lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in The National Comorbidity Survey. Archives of General Psychiatry, 54, 313-321.PubMedGoogle Scholar
  55. Kessler, R. C., & Ustun, T. B. (2004). The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research, 13(2), 93-121.PubMedCrossRefGoogle Scholar
  56. Kessler, R. C., Andrews, G., Mroczek, D., Ustun, B., & Wittchen, H. U. (2006). The World Health Organization Diagnostic Interview short form (CIDI-SF). International Journal of Methods in Psychiatric Research, 7, 171-185.Google Scholar
  57. Kintz, P. (ed). (2006). Analytical and practical aspects of drug testing in hair. Boca Raton, FL: Taylor & Francis Group, LLC.Google Scholar
  58. Kirby, K. N., & Marakovic, N. N. (1996). Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Psychonomic Bulletin & Review, 3(1), 100-104.Google Scholar
  59. Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology, 128(1), 78-87.PubMedGoogle Scholar
  60. Knight, K., Simpson, D., & Hiller, M. (2002). Screening and referral for substance-abuse treatment in the criminal justice system. Treatment of Drug Offenders: Policies and Issues, 14, 259-272.Google Scholar
  61. Kranzler, H. R., Kadden, R. M., Burleson, J. A., & Babor, T. F. (1995). Validity of psychiatric diagnoses in patients with substance use disorders: Is the interview more important than the interviewer? Comprehensive Psychiatry, 36(4), 278-288.PubMedCrossRefGoogle Scholar
  62. Kushner, M. G., Abrams, K., & Borchardt, C. (2000). The relationship between anxiety disorders and alcohol use disorders: A review of major perspectives and findings. Clinical Psychology Review, 20, 149-171.PubMedCrossRefGoogle Scholar
  63. Lejuez, C. W., Kahler, C. W., & Brown, R. A. (2003). A modified computer version of the Paced Auditory Serial Addition Task (PASAT) as a laboratory-based stressor. Behavior Therapist, 26, 290-293.Google Scholar
  64. Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., et al. (2002). Evaluation of a behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75-84.PubMedCrossRefGoogle Scholar
  65. Logan, G. D., Schachar, R. J., & Tannock, R. (1997). Impulsivity and inhibitory control. Psychological Science, 8(1), 60-64.CrossRefGoogle Scholar
  66. Longshore, D., Urada, D., Evans, E., Hser, Y., Prendergast, M. L., Hawken, A., et al. (2004). Evaluation of the Substance Abuse and Crime Prevention Act: 2003 report. Los Angeles, CA: UCLA integrated substance abuse programs for the California Department of Alcohol and Drug Programs.Google Scholar
  67. Luck, P. A., Elifson, K. W., & Sterk, C. E. (2004). Female drug users and the welfare system: A qualitative exploration. Drugs: Education, Prevention and Policy, 11(2), 113-128.CrossRefGoogle Scholar
  68. Lundgren, L. M., Amodeo, M., Ferguson, F., & Davies, K. (2001). Racial and ethnic differences in drug treatment entry of injection drug users in Massachusetts. Journal of Substance Abuse Treatment, 21, 145-153.PubMedCrossRefGoogle Scholar
  69. McCaul, M. E., Svikis, D. S., & Moore, R. D. (2001). Predictors of outpatient treatment retention: Patient versus substance use characteristics. Drug and Alcohol Dependence, 62, 9-17.PubMedCrossRefGoogle Scholar
  70. McLellan, A. T., Kushner, H., Metzger, D., Peters, R., Smith, I., & Grissom, G. (1992). The fifth edition of the Addiction Severity Index. Journal of Substance Abuse Treatment, 9(3), 199-213.PubMedCrossRefGoogle Scholar
  71. Miele, G. M., Carpenter, K. M., Cockerham, M. S., Trautman, K. D., Blaine, J., & Hasin, D. S. (2000). Substance Dependence Severity Scale (SDSS): Reliability and validity of a clinician-administered interview for DSM-IV substance use disorders. Drug and Alcohol Dependence, 59(1), 63-75.PubMedCrossRefGoogle Scholar
  72. Miller, W. R., Tonigan, J. S., & Longabaugh, R. (1995). The Drinker Inventory of Consequences (DrInC): An instrument for assessing adverse consequences of alcohol abuse. Albuquerque, NM: Center on Alcoholism, Substance Abuse and Addictions.Google Scholar
  73. Millon, T., & Meagher, S. E. (2004). The Millon Clinical Multiaxial Inventory-III (MCMI-III). In M. J. Hilsenroth, & D. L. Segal (Eds.), Comprehensive handbook of psychological assessment, Vol. 2: Personality assessment (pp. 109-121). Hoboken, NJ: Wiley.Google Scholar
  74. Moeller, F. G., Dougherty, D. M., Barratt, E. S., Schmitz, J. M., Swann, A. C., & Grabowski, J. (2001). The impact of impulsivity on cocaine use and retention in treatment. Journal of Substance Abuse Treatment, 21(4), 193-198.PubMedCrossRefGoogle Scholar
  75. Molina, B., & Pelham, W. (2003). Childhood predictors of adolescent substance use in a longitudinal study of children with ADHD. Journal of Abnormal Psychology, 112(3), 497-507.PubMedCrossRefGoogle Scholar
  76. Monterosso, J. R., Aron, A. R., Cordova, A. X., Xu, J., & London, E. D. (2005). Deficits in response inhibition associated with chronic methamphetamine abuse. Drug and Alcohol Dependence, 79(2), 273-277.PubMedCrossRefGoogle Scholar
  77. Morrissey, J. P., Jackson, E. W., Ellis, A. R., Amaro, H., Brown, V. B., & Najavits, L. M. (2005). Twelve-month outcomes of trauma-informed interventions for women with co-occurring disorders. Psychiatric Services, 56(10), 1213-1222.PubMedCrossRefGoogle Scholar
  78. Mowbray, C. T., Collins, M. E., Plum, T. B., Masterton, T., & Mulder, R. (1997). Harbinger. I: The development and evaluation of the First PACT replication. Administration and Policy in Mental Health, 25, 105-123.PubMedCrossRefGoogle Scholar
  79. Nigg, J. T., Wong, M. M., Martel, M. M., Jester, J. M., Puttler, L. I., Glass, J. M., et al. (2006). Poor response inhibition as a predictor of problem drinking and illicit drug use in adolescents at risk for alcoholism and other substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45(4), 468-475.PubMedCrossRefGoogle Scholar
  80. Nunes, E., Liu, X., Samet, S., Matseoane, K., & Hasin, D. (2006). Independent versus substance-induced major depressive disorder in substance-dependent patients: Observational study of course during follow-up. Journal of Clinical Psychiatry, 67(10), 1561-1567.PubMedCrossRefGoogle Scholar
  81. Nunes, E. V., & Rounsaville, B. J. (2006). Comorbidity of substance use with depression and other mental disorders: from Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) to DSM-V. Addiction, 101(1), 89-96.PubMedCrossRefGoogle Scholar
  82. Nyamathi, A., Wenzel, S., Keenan, C., Leake, B., & Gelberg, L. (1999). Associations between homeless women’s intimate relationships and their health and well-being. Research in Nursing and Health, 22(6), 486-495.PubMedCrossRefGoogle Scholar
  83. Office on National Drug Control Policy (ONDCP). (2001). The economic cost of drug abuse in the United States, 1992-1998. Washington, DC: Executive Office of the President.Google Scholar
  84. Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995). Factor structure of the Barratt Impulsiveness Scale (BIS). Journal of Clinical Psychology, 51(6), 768-774.PubMedCrossRefGoogle Scholar
  85. Petry, N. M., & Bickel, W. K. (2000). Gender differences in hostility of opioid-dependent outpatients: Role in early treatment termination. Drug and Alcohol Dependence, 58(1-2), 27-33.PubMedCrossRefGoogle Scholar
  86. Pierucci-Lagha, A., Gelernter, J., Feinn, R., Cubells, J., Pearson, D., Pollastri, A., et al. (2005). Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA). Drug and Alcohol Dependence, 80(3), 303-312.PubMedCrossRefGoogle Scholar
  87. Pierucci-Lagha, A., Gelernter, J., Chan, G., Arias, A., Cubells, J., Farrer, L., et al. (2007). Reliability of DSM-IV diagnostic criteria using the semi-structured assessment or drug dependence and alcoholism (SSADDA). Drug and Alcohol Dependence, 91(1), 85-90.PubMedCrossRefGoogle Scholar
  88. Pirard, S., Sharon, E., Kang, S., Angarita, G., Gastfriend, D., Preston, K., et al. (2005). Prevalence of physical and sexual abuse among substance abuse patients and impact on treatment outcomes. Drug and Alcohol Dependence, 78(1), 57-64.PubMedCrossRefGoogle Scholar
  89. Preston, K. L., Silverman, K., Schuster, C. R., & Cone, E. J. (1997). Assessment of cocaine use with quantitative urinalysis and estimation of new uses. Addiction, 92, 717-727.PubMedCrossRefGoogle Scholar
  90. Quinn, E. P., Brandon, T. H., & Copeland, A. L. (1996). Is task persistence related to smoking and substance abuse? The application of learned industriousness theory to addictive behaviors. Experimental and Clinical Psychopharmacology, 4, 186-190.CrossRefGoogle Scholar
  91. Radloff, L. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385-401.CrossRefGoogle Scholar
  92. Regier, D. A., Farmer, M. E., Rae, D. S., Myers, J. K., et al. (1993). One-month prevalence of mental disorders in the United States and sociodemographic characteristics: The Epidemiologic Catchment Area program. Acta Psychiatrica Scandinavica, 88, 35-47.PubMedCrossRefGoogle Scholar
  93. Robins, L. N., Helzer, J. E., & Croughan, J. L. (1981). National Institute of Mental Health diagnostic interview schedule: Its history, characteristics, and validity. Archives of General Psychiatry, 38(4), 381-389.PubMedGoogle Scholar
  94. Robles, E., & Vargas, P. A. (2007). Functional parameters of delay discounting assessment tasks: Order of presentation. Behavioural Processes, 75, 237-241.PubMedCrossRefGoogle Scholar
  95. SAMHSA, Office of Applied Studies (2007). Results from the 2006 National Survey on Drug Use and Health: National Findings. NSDUH Series H-32. DHHS Publication No. SMA 07-4293. Rockville, MD: SAMHSA, Office of Applied Studies.Google Scholar
  96. SAMHSA, Office of Applied Studies (2008). Results from the 2007 National Survey on Drug Use and Health: National Findings. NSDUH Series H-34. DHHS Publication No. SMA 08-4343. Rockville, MD: SAMHSA.Google Scholar
  97. SAMHSA, Office of Applied Studies (2009). The TEDS Report: Treatment Outcomes among Clients Discharged from Residential Substance Abuse Treatment: 2005. Rockville, MD: SAMHSA.Google Scholar
  98. Saunders, J. B., Aasland, O. G., & Babor, T. F. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption: II. Addiction, 88(6), 791-804.PubMedCrossRefGoogle Scholar
  99. Schiff, M., & Terry, W. C. (1997). Predicting graduation from Broward County’s dedicated drug treatment court based upon individual participant characteristics. The Justice System Journal, 19(3), 291-310.Google Scholar
  100. Schober, R., & Annis, H. M. (1996). Barriers to help-seeking for change in drinking: A gender-focused review of the literature. Addictive Behaviors, 21(1), 81-92.PubMedCrossRefGoogle Scholar
  101. Simons, J. S., & Gaher, R. M. (2005). The Distress Tolerance Scale: Development and validation of a self-report measure. Motivation and Emotion, 29(2), 83-102.CrossRefGoogle Scholar
  102. Simpson, D. D., Joe, G. W., & Brown, B. S. (1997). Treatment retention and follow-up outcomes in the drug abuse treatment outcome study (DATOS). Psychology of Addictive Behaviors, 11(4), 294-307.CrossRefGoogle Scholar
  103. Skinner, H. A. (1982). The Drug Abuse Screening Test. Addictive Behaviors, 7(4), 363-371.PubMedCrossRefGoogle Scholar
  104. Stanford, M. S., Greve, K. W., Boudreaux, J. K., & Mathias, C. W. (1996). Impulsiveness and risk-taking behavior: Comparison of high-school and college students using the Barratt Impulsiveness Scale. Personality and Individual Differences, 1(6), 1073-1075.CrossRefGoogle Scholar
  105. Stuart, G. L., Moore, T. M., & Kahler, C. W. (2003). Substance abuse and relationship violence among men court-referred to batterers’ intervention programs. Substance Abuse, 24(2), 107-122.PubMedGoogle Scholar
  106. Tarter, R., & Hegedus, A. (1991). The Drug Use Screening Inventory: Its applications in the evaluation and treatment of alcohol and other drug abuse. Alcohol Health and Research World, 15(1), 65-75.Google Scholar
  107. Tarter, R. E., Kirisci, L., Mezzich, A., Cornelius, J. R., Pajer, K., Vanyukov, M., et al. (2003). Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder. American Journal of Psychiatry, 160(6), 1078-1085.PubMedCrossRefGoogle Scholar
  108. Taylor, J., Malone, S., Iacono, W. G., & McGue, M. (2002). Development of substance dependence in two delinquency subgroups and nondelinquents from a male twin sample. Journal of the American Academy of Child and Adolescent Psychiatry, 41(4), 386-393.PubMedCrossRefGoogle Scholar
  109. Tonigan, J. S., & Miller, W. R. (2002). The Inventory of Drug Use Consequences (InDUC): test-retest stability and sensitivity to detect change. Psychologically Addictive Behavior, 16(2), 165-168.CrossRefGoogle Scholar
  110. Trull, T. J., Sher, K. J., Minks-Brown, C., Durbin, J., & Burr, R. (2000). Borderline personality disorder and substance use disorders: A review and integration. Clinical Psychology Review, 20, 235-253.PubMedCrossRefGoogle Scholar
  111. Weathers, F. W., Litz, B. T., Huska, J. A., & Keane, T. M. (1994). PTSD checklist-civilian version. Boston: National Center for PTSD, Behavioral Science Division.Google Scholar
  112. Weed, N. C., Butcher, J. N., & McKenna, T. (1992). New measures for assessing alcohol and drug abuse with the MMPI-2: The APS and AAS. Journal of Personality Assessment, 58(2), 389-404.PubMedCrossRefGoogle Scholar
  113. Westerberg, V. S., Tonigan, J. S., & Miller, W. R. (1998). Reliability of Form 90D: An instrument for quantifying drug use. Substance Abuse, 19, 179-189.PubMedGoogle Scholar
  114. Whiteside, S. P., & Lynam, D. R. (2001). The Five Factor Model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Differences, 30(4), 669-689.CrossRefGoogle Scholar
  115. Williams, J., Gibbon, M., First, M., & Spitzer, R. (1992). The Structured Clinical Interview for DSM-III-R (SCID): II. Multisite test-retest reliability. Archives of General Psychiatry, 49(8), 630-636.PubMedGoogle Scholar
  116. Wolff, K., Farrell, M., Marsden, J., Monteiro, M. G., Ali, R., Welch, S., et al. (1999). A review of biological indicators of illicit drug use, practical considerations and clinical usefulness. Addiction, 94, 1279-1298.PubMedCrossRefGoogle Scholar
  117. WHO. (1994). International Statistical Classification of Diseases and related health problems, tenth revision, revised. Geneva: WHO.Google Scholar
  118. Zilberman, D., Cao, X., & Jacobsen, S. E. (2003). Comorbidity of mental disorders with alcohol and other drug abuse: Results from the Epidemiologic Catchment Area (ECA) study. Journal of the American Medical Association (JAMA), 264, 2511-2518.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Jessica F. Magidson
    • 1
  • Marina A. Bornovalova
    • 2
  • Stacey B. Daughters
    • 1
    Email author
  1. 1.University of MarylandCollege ParkUSA
  2. 2.University of MinnesotaMinneapolisUSA

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