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Marijuana is the most commonly used illicit drug in the US, but treatment for marijuana dependence is not fully effective. The most effective treatments to date have employed motivational enhancement (MET) plus cognitive-behavioral coping skills treatment (CB) and contingency management (CM) for abstinence. This study was intended to deliver a treatment to enhance coping and self-efficacy to improve marijuana outcomes in the long term. Researchers are explored the idea that more tailored teaching of coping skills may result in improved outcomes for marijuana-dependence than those seen thus far. The Individualized Assessment and Treatment Program (IATP) for marijuana dependent patients employed experience sampling (ES) to determine the strengths and weaknesses of each patient in drug-use situations so that treatment could be tailored accordingly.

Participants were 198 men and women meeting criteria for marijuana dependence and randomly assigned to 9 sessions of treatment in one of 4 treatment conditions: Standardized MET plus CB (SMET-CB); SMET+ CM (SMET-CB-CM); IATP; or IATP + CM (IATP-CM). Patients in all treatments engaged in ES via cell-phone for two weeks prior to treatment, for a weekly period during treatment, for another week after treatment has ended, and for two weekly periods at months 8 and 14. In the IATP conditions, the information gathered from the pretreatment and during-treatment ES periods provided data for a functional analysis of patients' drug use and urges to use. Therapists used the information to address specific cognitions, affects, and behaviors that were adaptive and maladaptive, and tailored a specific coping skills program with the patient. During-treatment experience sampling allowed monitoring of the treatment goals and procedures, making the treatment adaptive. In the SMET-CB conditions the experience sampling data were not used in therapy, but still provides in-vivo measures of drug use and coping skills.

It was hypothesized that IATP conditions would yield significantly better coping skills acquisition than SMET-CB conditions, both at posttreatment and at extended follow-ups, and that change in coping skills would predict better outcomes for the IATP conditions. It was further predicted that the addition of CM to both IATP and SMET-CB would enhance short-term and long-term outcomes. The results would have implications for improved tailoring of treatment to patients' strength and deficits, and for the validity of the training of coping skills for cannabis relapse prevention. The data collected will shed light on the ways in which patients in treatment use coping skills in real-time contexts. Finally, the use of repeated ES periods will allow researchers to determine how treatment impacts thoughts, feelings and behaviors, and how these in turn affect outcome in the long and short term.

The study examined the first five years of operation of Kansas senate bill 123 (November 2003-November 2008) examining individual-level and system-level outcomes over time and across community corrections districts and judicial actors. The study also assesses the impact of SB 123 on the work routines of criminal justice system actors, examining changes in sentencing and supervision practices and interactions across agencies following the implementation of SB 123.

Individual-level impacts of SB 123 on recidivism rates are assessed using sentencing and revocation data collected by the Kansas Sentencing Commission for drug possessors sentenced in Kansas between November 1, 2001 and October 31, 2008 (Dataset 1). Propensity score matching was used to compare the revocation and reconviction rates of drug possessors sentenced to SB 123 with the recidivism rates of similar individuals sentenced to regular probation (standard supervision by community corrections or court services) (Dataset 2). Supervision and program participation data provided by the Kansas Department of Corrections were used to assess the use of drug treatment services, education and employment services, and sanctions for individuals sentenced to SB 123 or standard community corrections (Dataset 3). These quantitative data were complemented by a set qualitative data derived from interviews with SB 123-eligible offenders (Dataset 4), community corrections managers, and courtroom actors (judges, prosecutors, public defenders) (Dataset 5).

The Epidemiologic Catchment Area (ECA) program of research was initiated in response to the 1977 report of the President's Commission on Mental Health. The purpose was to collect data on the prevalence and incidence of mental disorders and on the use of and need for services by the mentally ill. Independent research teams at five universities (Yale University, Johns Hopkins University, Washington University, Duke University, and University of California at Los Angeles), in collaboration with the National Institute for Mental Health, conducted the studies with a core of common questions and sample characteristics. The sites were areas that had previously been designated as Community Mental Health Center catchment areas: New Haven, Connecticut, Baltimore, Maryland, St. Louis, Missouri, Durham, North Carolina, and Los Angeles, California. Each site sampled over 3,000 community residents and 500 residents of institutions, yielding 20,861 respondents overall. The longitudinal ECA design incorporated two waves of personal interviews administered one year apart and a brief telephone interview in between (for the household sample). The diagnostic interview used in the ECA was the NIMH Diagnostic Interview Schedule (DIS), Version III (with the exception of the Yale Wave I survey, which used Version II). Diagnoses were categorized according to the DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS, 3rd Edition (DSM-III). Diagnoses derived from the DIS include manic episode, dysthymia, bipolar disorder, single episode major depression, recurrent major depression, atypical bipolar disorder, alcohol abuse or dependence, drug abuse or dependence, schizophrenia, schizophreniform, obsessive compulsive disorder, phobia, somatization, panic, antisocial personality, and anorexia nervosa. The DIS uses the Mini-Mental State Examination (MMSE), which measures cognitive functioning, as an indirect measure of the DSM-III Organic Mental Disorders. In the ECA survey, this diagnosis is called cognitive impairment.

This collection features data from 17,327 participants across 2,005 variables. Data from the Los Angeles, California, Catchment (UCLA) are not included. Baseline data (Wave 1) and Wave 2 data were linked to the National Death Index through 2007, which includes primary and contributing causes of death, International Classification of Disease (ICD) codes, and nature of injury variables.