Substance abuse treatment and psychiatric comorbidity: do benefits spill over? analysis of data from a prospective trial among cocaine-dependent homeless persons
© Kertesz et al; licensee BioMed Central Ltd. 2006
Received: 29 June 2006
Accepted: 11 September 2006
Published: 11 September 2006
Comorbid psychiatric illness can undermine outcomes among homeless persons undergoing addiction treatment, and psychiatric specialty care is not always readily available. The prognosis for nonsubstance abuse psychiatric diagnoses among homeless persons receiving behaviorally-based addiction treatment, however, is little studied.
Data from an addiction treatment trial for 95 cocaine-dependent homeless persons (1996–1998) were used to profile psychiatric diagnoses at baseline and 6 months, including mood-related disorders (e.g. depression) and anxiety-related disorders (e.g. post-traumatic stress disorder). Treatment interventions, including systematic reinforcement for goal attainment, were behavioral in orientation. There was a 32% reduction in the prevalence of comorbid non-addiction psychiatric disorder from baseline to 6 months, with similar reductions in the prevalence of mood (-32%) and anxiety-related disorders (-20%) (p = 0.12).
Among cocaine-dependent homeless persons with psychiatric comorbidity undergoing behavioral addiction treatment, a reduction in comorbid psychiatric disorder prevalence was observed over 6 months. Not all participants improved, suggesting that even evidence-based addiction treatment will prove insufficient for a meaningful proportion of the dually diagnosed homeless population.
In 2004, homeless persons in the United States accounted for 175,300 admissions to substance abuse treatment facilities receiving public funding , with recent cocaine use reported in 46% of those admissions . Comorbid psychiatric disorders are an important complicating factor in the treatment of homeless drug users. In a national survey, 3/4 of homeless persons with a past-year drug problem also had a current nonsubstance-related mental health problem . These figures are comparable to the general population of persons seeking treatment for drug use disorders. In the National Epidemiologic Survey on Alcohol and Related Conditions (2001–02), among persons who sought treatment for a current (past-year) drug use disorder, 60% had an independent mood-related disorder (MRD) and 43% had an independent anxiety-related disorder (ARD) during the same period .
Recent initiatives on homelessness make it important to understand what psychiatric outcomes can be obtained from behavioral addiction treatment programs serving dually diagnosed homeless persons. Initiatives of the United States federal government include a policy focus on ending chronic homelessness [5–9], and the instigation of 10-year homeless planning processes among 222 communities across the United States (Personal Communication, Mary Ellen Hombs, United States Interagency Council on Homelessness, August 3, 2006). Outcomes for homeless persons are also of interest because 80% of homeless single adults with nonaddiction mental health problems do not receive services for those problems . Further, only 35% of substance abuse treatment facilities provide formal treatment for persons with comorbid mental health disorders , meaning that formally integrated dual diagnosis treatment programs, while potentially ideal , are likely to remain inaccessible for many dually diagnosed homeless persons.
Whether behavioral treatments for substance abuse in the homeless [13, 14] confer benefit for comorbid mental illness remains unclear. Some reports describe reductions in psychiatric symptoms among persons undergoing addiction treatment, potentially due to resolution of post-drug dysphoric symptoms (including the post-cocaine "crash"), or remission of substance-induced mental disorders . Such data are not entirely informative for homeless policy, however, due to: (a) with exceptions, insufficient representation of homeless persons in reported samples; (b) a lack of formal diagnostic assessment at the treatment follow-up; and (c) a paucity of studies regarding formal behavioral addiction treatment approaches. Behavioral addiction treatments, defined as manualized nonpharmacologic interventions for substance abuse , include modalities such as community reinforcement, rewards for abstinence or other goal attainment, and cognitive behavioral therapy. Such approaches can be deployed in publicly funded addiction treatment programs that receive homeless persons. However, a review of the efficacy of behavioral therapies among dually diagnosed cocaine dependent persons noted that empiric data are notable mainly for their absence .
In response to a paucity of empirically validated treatment options for dually diagnosed (non-psychotic) homeless persons, we performed a secondary analysis of data from a randomized behavioral addiction treatment trial for homeless, non-psychotic, cocaine-abusing individuals, focusing on non-substance abuse psychiatric outcomes. The original trial intervention randomly assigned a behavioral contingency management approach (including abstinence contingent housing and paid vocational rehabilitation) to half of the participants while offering intensive behavioral day treatment (including psychosocial, cognitive behavioral, and rewards for nonsubstance-related goal attainment) to all participants. Substance use improved in both trial arms, but improved more in the contingency management group, as has been reported [19, 20].
There was plausible basis to anticipate improvement in non-substance abuse psychiatric diagnoses. Vocational rehabilitation activities included social reinforcement, including vouchers for purchase of goods in response to goal accomplishment (for both trial arms). Individuals within the contingency-managed housing trial arm additionally had access to program-provided housing and work therapy dependent on the results of negative urine toxicology screens. The treatment program activities therefore had elements of behavioral activation, access to reinforcers, and distraction from negative maladaptive cognitions, features typical of cognitive-behavioral therapies [21, 22]. Further, it bore resemblance to milieu therapy, which has a record of efficacy in depression .
The present examination sought to describe what improvement, if any, transpired for non-addiction psychiatric disorders after treatment was offered for 6 months. While this analysis takes account of trial arm, intensive day treatment was offered to all participants in this study, and this analysis assessed improvements in psychiatric status for persons with mood-related disorders and anxiety-related disorders for participants in both trial arms.
The original treatment trial was conducted between April 1995 and August 1996 .
Participants in the clinical trial were recruited from Birmingham Health Care (BHC), the largest health care agency for homeless persons in Birmingham, Alabama. Inclusion criteria were: 1) homeless according to McKinney Act criteria for homelessness ; 2) self-reported cocaine use in the past two weeks with a DSM-III-R diagnoses of cocaine abuse/dependence at baseline assessment; 3) endorsed significant symptoms of psychological distress based on a Symptoms Checklist 90-R scale t-score > 70; 4) intended to stay in Birmingham for 12 months; 5) capable of providing informed consent; 6) no symptoms of severe medical or psychiatric disorder requiring immediate hospitalization; and 7) willing to participate in interventions and assessments.
One hundred sixty-three individuals were screened and found eligible to participate in the study. However, 16 did not attend baseline testing, 5 were found ineligible after reviewing screening assessments, and 1 refused participation. The remaining 141 individuals were randomly assigned to 1 of 2 treatment groups, as reviewed below. All participants provided informed consent, received modest compensation, and this study had the approval of the Institutional Review Board of the University of Alabama at Birmingham.
Design and intervention
Participants were randomized to 1 of 2 interventions: Enhanced Day Treatment (DT+) and Day Treatment alone (DT). The trial intervention was a manualized, behavioral day treatment program occurring in 3 phases. During Phase I (months 0–2), all participants engaged in a substance abuse day treatment program from 7:30 am to 2:30 pm, including lunch and transportation to and from the treatment center. Individuals participated in group and individual therapy, and underwent urine drug testing. Day treatment emphasized individualized goal setting and review of goal attainment in major life domains (housing, employment, mental health, etc), with weekly vouchers provided for accomplished goals.
Upon achieving 2 weeks of abstinence, participants in the DT+ trial arm also received abstinent-contingent, rent-free, furnished apartments. However, a positive urine screen on random, twice-weekly testing resulted in immediate eviction of the individual from the rent-free apartment and transportation to a shelter. Individuals could return to program-provided housing once they re-established abstinence (2 consecutive negative urine toxicologies). Individuals in the DT arm did not have the option of abstinent-contingent housing but were free to pursue any other housing options available to them.
During Phase II (months 3–6), both DT+ and DT participants engaged in aftercare, consisting of weekly 1.5-hour group therapy sessions that emphasized goal setting and relapse prevention. Urine was screened at least once weekly. Individual counseling was available as needed. For individuals in the DT+ group, abstinent-contingent housing remained available for a rent of $162 per month. Rent could be earned through employment or program-provided abstinent-contingent work therapy. Individuals in the DT arm did not have the option of abstinent-contingent housing. While their specific lodging experiences were not recorded, many used local shelters and boarding and recovery homes.
Primary outcome measures
The primary outcome measure for this analysis was the presence of current non-psychotic, non-substance abuse/dependence Axis I psychiatric diagnoses (e.g. depression, anxiety, etc.) at baseline and 6 months. Baseline diagnostic evaluations were completed 7–12 days following enrollment into the study. This delay was designed to reduce diagnostic imprecision resulting from post-cocaine dysphoric symptoms (including the post-cocaine "crash"), which are typically most intense during the first week after cessation [15, 26].
Diagnostic assessments, lasting approximately 30 minutes to 1 hour, were conducted by a psychology post-doctoral fellow or faculty member, who assigned diagnoses based on a clinical diagnostic interview, structured with the help of a computer-administered DSM-III-R Checklist . The checklist is designed to assist doctoral-level clinicians in establishing diagnoses for 22 Axis I disorders as well as one Axis II disorder, antisocial personality disorder. It served as a diagnostic clinical guide in the original Epidemiologic Catchment Area (ECA) Survey . Its psychometric properties were established based on agreement of diagnoses with psychiatrist and lay administration of the Diagnostic Interview Schedule . Specificities of all diagnoses were 90% or better, while sensitivities ranged from 47% to 100% . The Checklist, based on DSM-III-R, did not explicitly provide a method to delineate independent from secondary comorbid psychiatric diagnoses (unlike instruments based on the DSM-IV [31, 32]. However, consistent with the DSM-III-R, diagnostic evaluators were expected to delineate primary disorders based on a global, albeit unguided, clinical judgment. Clinical judgment was also applied to participants with symptoms outside of the scope of the instrument (e.g. trichotillomania).
Most Frequent Baseline Diagnoses in the Analytic Cohort (n = 95)1
Major Depressive Disorder
Post-traumatic Stress Disorder
Generalized Anxiety Disorder
In modeling changes in the prevalence of the 2 psychiatric disorder categories (ARDs and MRDs) over 6-months, analyses took into account several measures that could plausibly be related to these outcomes and might be construed as confounders or explanatory variables. Age, education, gender and race were included as demographic covariates. Abstinence was defined as the longest number of consecutive weeks abstinent, as measured by drug-negative urine toxicologies, during the time frame encompassed by the present analysis (i.e. 6 months). Trial arm assignment (DT and DT+) and treatment attendance were also included as covariates to ascertain the impact of treatment intensity on outcome. Attendance was categorized, based on review of the biphasic distribution of participation in outpatient day treatment in Phase I (months 1–2) and Phase II (3–6), thusly: "low" (low attendance in both Phase I and Phase II), "medium" (high attendance in Phase I or Phase II, but not both Phases) and "high" (high attendance in both Phase I and Phase II).
To assess the relationship between disorder type (ARD and MRD) and time (0 months, 6 months), this analysis included data for individuals available at baseline and 6 months. To assess the potential for selection bias, baseline characteristics for included participants to those participants unavailable at six months were compared with Mann-Whitney U tests and chi-squared tests as indicated.
To evaluate whether mood and anxiety disorder outcomes differed for participants who contributed observations at baseline and follow-up, the outcome of psychiatric disorder (presence/absence) was modeled in relation to disorder type (ARD and MRD) and time (0 months and 6 months) using an extension of the generalized linear model, a generalized estimating equation . To allow model specification that could address the questions of interest, 4 binary outcomes were generated for each participant based on disorder type at each time period. For many readers, the inclusion of the type of disorder and the time of the observation interval as predictors for a generic outcome of "psychiatric disorder present/absent" will not seem intuitive, but this approach permits statistically testing whether psychiatric disorder presence was dependent on observation interval (i.e., baseline versus 6 months later) and whether it differed for anxiety-related as opposed to mood-related disorders. This approach is analogous to an extension of the McNemar test often used for paired binary outcomes (the ARD and MRD diagnoses) in a longitudinal setting. This GEE approach incorporates the between-diagnostic-category and temporal correlation inherent to this study design.
A hierarchical modeling approach  was employed to analyze the data. A base model (including only the observation interval and type of disorder) was specified, followed by 3 additional exploratory models, which varied in regard to the inclusion of 3 groups of plausible covariates chosen a priori (i.e. demographic, abstinence-related, and treatment intensity-related covariates). All 4 models included the disorder type and observation interval as predictors, co-represented as 4 predictor terms (ARD at baseline, ARD at 6 months, MRD at baseline, MRD at 6 months), along with a separate term for observation interval (baseline versus 6 months) representing the effect of interval time, independent of disorder type. Model 1 included only these 4 disorder/interval terms and the term for interval. Model 2 included these 5 terms, and the demographic covariates of gender, race, education and age. Model 3 included the same 5 terms as Model 1, and consecutive weeks of abstinence. Model 4 included the same 5 terms, two treatment intensity covariates [trial arm assignment (DT or DT+) and day treatment attendance]. Potential evidence of treatment benefit was sought through post hoc testing for the 3-way interactions of disorder type by time by treatment arm, and of disorder type by time by attendance. Recognizing that such analyses should be considered exploratory given the small numbers of subjects, p-values are offered as indicators of the likelihood of potential associations, rather than formal hypothesis testing.
SAS Version 8.0 (SAS Institute, 2001, Cary, NC) was the statistical software package used for all statistical analyses.
Comparison of Individuals Providing Only Baseline Data and Individuals Providing Complete Data at Baseline and at Six Months' Follow-Up
Baseline Only (n = 32)
Available at Baseline and 6 months (n = 95)
Statistical Test 2
U = 1391.5
Race (% AA)
χ2 = 3.49
Gender (% male)
χ2 = 0.44
U = 1465
Diagnostic Category at Baseline (%)
χ2 (df 3) = 0.08
ARD Only (%)
MRD Only (%)
χ2 = 0.34
Anti-social Personality Disorder (%)
χ2 = 0.13
Frequency of Disorders, By Category of Mood-versus Anxiety-Related Disorder at Baseline and 6 Months
Baseline [n (%)]
Follow-up [n (%)]
Mood-Related Disorder (MRD)
MRD + Other1
Anxiety-Related Disorder (ARD)
ARD + Other1
Combination (MRD and ARD)
MRD + ARD
MRD + ARD + Other1
Neither MRD nor ARD
Total with Any Comorbid Disorder
Total with No Comorbid Disorder
At 6 months, 39 participants (41%) had at least 1 non-substance abuse/dependence, non-psychotic, Axis I psychiatric disorder, with similar proportions having MRDs and ARDs (16% with MRD but no ARD; 13% with ARD but no MRD; 11% with both MRD and ARD; 2% with a disorder in neither category). Figure 1 shows the proportion of participants diagnosed with MRDs and ARDs at baseline and at 6-month follow-up. Table 3 displays the frequency for each disorder type separately and in combination.
Psychiatric comorbidity is common among homeless individuals presenting for addiction treatment. Data regarding the prognosis for comorbid psychiatric disorders among cocaine abusers undergoing behaviorally-based addiction treatment are infrequent [17, 18], especially among homeless samples. In this study at baseline, 73% of a homeless cocaine-abusing sample qualified for 1 or more comorbid disorders. Common diagnoses included depression and post-traumatic stress disorder. This proportion fell to 41% at 6 months. Multivariable analyses did not demonstrate associations of trial arm or treatment intensity (including attendance) with improvement for either disorder type, but these statistical models were quite substantially underpowered, relying upon 3-way interaction terms with small subject numbers.
More than one interpretation for these findings is entirely possible. For instance, these findings may reflect a "spillover psychiatric benefit" for a behavioral addiction treatment program that offered elements of behavioral activation, social and tangible rewards, and milieu therapy. Conversely, evidence of improvement over time may simply indicate that (a) emotional dysphoria characterizes many persons early in the course of addiction treatment, and (b) dysphoric symptoms early in treatment can suggest psychiatric diagnoses, and (c) such symptoms tend to abate. Only a non-treatment control arm, something not present in this study and not frequently available in research involving homeless populations, could definitively disentangle these and other possible explanations.
Our findings may be compared to studies that have shown improvements in psychiatric symptoms among dually diagnosed inpatients [12, 36] and community-dwelling outpatients  who received integrated treatment programs with services for comorbid addiction and nonaddiction psychiatric problems. However those studies relied on brief measures of psychiatric symptoms and functioning , rather than the more specific diagnostic assessments used in this study, and they involved programs that formally integrated addiction and psychiatric services, a potentially desirable approach that is not consistently funded in many communities. Since this trial was conducted in a state where neither Medicaid nor free psychiatric care are freely accessible to single adults with nonpsychotic mental illness, these findings may reflect what results can be expected from behavioral addiction treatment, absent formal psychiatric treatment services.
An interpretive challenge for this study is the degree to which the findings reflect the remission of substance-induced psychiatric disorders or withdrawal symptoms, rather than remission of independent psychiatric disorders. The diagnostic method used here makes the first interpretation somewhat less plausible. Evaluations were formally structured, conducted by doctoral-level individuals, and occurred 7–12 days after last use (e.g. after the period when the most prominent mood dsyphoria is typically reported by cocaine users in treatment ). Nonetheless there remains debate regarding the applicability of psychiatric diagnostic terms to individuals early in addiction recovery , and future research in this area should include instruments that formally address the distinction of independent and secondary psychiatric disorders, such as the Psychiatric Research Interview for Substance and Mental Disorders (PRISM) [39, 31].
Limitations to the present analysis, notably sample size and power, have been noted. In the homeless population, however, there is a lack of other studies that have accrued and subjected to formal psychological diagnosis a similarly-sized sample of dually diagnosed cocaine abusers up to 6 months after behavioral treatment.
Important strengths to this study include its being among the few to focus on psychiatric outcomes in dually diagnosed homeless individuals with non-psychotic disorders. Homeless individuals in particular represent a distinctly challenging group for the conduct of prospective research. For a study of homeless persons with crack-cocaine addictions and high rates of comorbidity, a 6-month follow-up rate of 74.8% compares favorably with similar studies [40, 41].
These findings should be relevant to policymakers, given ongoing governmental interest in both chronic homelessness and addiction treatment, coupled with limitations on access to specialty psychiatric care. A recent managed care consensus panel's recommendations for treating dually diagnosed individuals suggests that addiction treatment programs must be ready to respond to comorbid psychiatric disorders [42, 43]. Problematically, few dual diagnosis treatment options are empirically validated among non-psychotic, homeless populations. Moreover, only 35% of addiction treatment programs offer programs and services for persons with comorbid mental illness . The reduction in psychiatric disorder prevalence observed in this sample, if confirmed in future trials, suggests a potential secondary benefit to behavioral addiction treatment for some dually diagnosed homeless. However, over 40% of this cohort continued to qualify for nonaddiction psychiatric diagnoses at 6 months. Accordingly, even if evidence-based, comprehensive behavioral addiction treatment were to become the norm in publicly funded programs, many homeless individuals are still likely to require psychiatric specialty care in conjunction with addiction treatment.
SGK conceived of this analysis, interpreted findings and drafted the manuscript and redrafted in response to reviews.
AM conceived of this analysis, collected measures, interpreted findings and drafted the manuscript.
DW helped plan and conduct the analysis and revised the manuscript.
JES designed the original trial, conducted it, helped interpret findings and revised the manuscript.
JBM designed the original trial, conducted it, helped interpret findings and revised the manuscript.
All authors helped to revise and approved the final draft of the manuscript.
The National Institute on Drug Abuse supported the original clinical trial data collection through grant R01-DA-08475. Dr. Kertesz's effort on this manuscript is supported by National Institute on Drug Abuse grant K23-DA-15487. That agency had no role in drafting the manuscript or in the decision to submit for publication.
- Office of Applied Studies, Substance Abuse and Mental Health Services Administration: Homeless Admissions to Substance Abuse Treatment: 2004. The DASIS Report. 2006, Arlington , United States Department of Health and Human ServicesGoogle Scholar
- United States Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Office of Applied Studies: Treatment Episode Data Set (TEDS). 2004, Prepared by Synectics for Management Decisions, IncorporatedGoogle Scholar
- Burt MR, Aron LY, Douglas T, Valente J, Lee E, Iwen B: Homelessness: Programs and the People They Serve. Technical Report of Findings of the National Survey of Homeless Assistance Providers and Clients. 1999, Washington, DC , Urban InstituteGoogle Scholar
- Grant BF, Stinson FS, Dawson DA, Chou SP, Dufour MC, Compton W, Pickering RP, Kaplan K: Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2004, 61 (8): 807-816. 10.1001/archpsyc.61.8.807.View ArticlePubMedGoogle Scholar
- Editorial: Up and Off the Streets. New York Times. 2003, New York , A30Google Scholar
- Editorial: Ending Chronic Homelessness. New York Times. 2002, New York , A24Google Scholar
- Tsemberis S, Gulcur L, Nakae M: Housing First, consumer choice, and harm reduction for homeless individuals with a dual diagnosis. American Journal of Public Health. 2004, 94 (4): 651-656.PubMed CentralView ArticlePubMedGoogle Scholar
- United States Department of Housing and Urban Development: Notice of Funding Availability (NOFA) for the Collaborative Initiative to Help End Chronic Homelessness. http://www.hud.gov/offices/cpd/homeless/apply/2002nofa/index.cfm
- Ekholm E: New campaign shows progress for homeless. New York Times. 2006, New York , 19-Google Scholar
- Burt MR, Sharkey P: The Role of Medicaid in Improving Access to Care for Homeless People. 2002, Washington, DC , Urban InstituteView ArticleGoogle Scholar
- Office of Applied Studies, Substance Abuse and Mental Health Services Administration: National Survey of Substance Abuse Treatment Services (N-SSATS): 2004. Edited by: Services USDHH. 2005, Rockville , United States Department of Health and Human ServicesGoogle Scholar
- Grella CE, Stein JA: Impact of program services on treatment outcomes of patients with comorbid mental and substance use disorders. Psychiatric Services. 2006, 57 (7): 1007-1015. 10.1176/appi.ps.57.7.1007.PubMed CentralView ArticlePubMedGoogle Scholar
- Stahler GJ: Social interventions for homeless substance abusers: evaluating treatment outcomes. Journal of Addictive Diseases. 1995, 14 (4): xv-xxvi. 10.1300/J069v14n04_a.View ArticlePubMedGoogle Scholar
- Milby JB, Schumacher JE: To House or not to house? Does it make a difference?. American Journal of Public Health. 2005, 95: 1259-1265. 10.2105/AJPH.2004.039743.PubMed CentralView ArticlePubMedGoogle Scholar
- Gawin FH, Kleber HD: Abstinence symptomatology and psychiatric diagnosis in cocaine abusers. Clinical observations. Archives of General Psychiatry. 1986, 43 (2): 107-113.View ArticlePubMedGoogle Scholar
- Schuckit MA: Comorbidity between substance use disorders and psychiatric conditions. Addiction. 2006, 101 (Supplement 1): 76-88. 10.1111/j.1360-0443.2006.01592.x.View ArticlePubMedGoogle Scholar
- Carroll KM: Behavioral therapies for co-occurring substance use and mood disorders. Biol Psychiatry. 2004, 56 (10): 778-784. 10.1016/j.biopsych.2004.07.010.PubMed CentralView ArticlePubMedGoogle Scholar
- Rounsaville BJ: Treatment of cocaine dependence and depression. Biol Psychiatry. 2004, 56 (10): 803-809.View ArticlePubMedGoogle Scholar
- Milby JB, Schumacher JE, McNamara C, Wallace D, Usdan S, McGill T, Michael M: Initiating abstinence in cocaine abusing dually diagnosed homeless persons. Drug and Alcohol Dependence. 2000, 60 (1): 55-67. 10.1016/S0376-8716(99)00139-8.View ArticlePubMedGoogle Scholar
- Milby JB, Schumacher JE, Raczynski JM, Caldwell E, Engle M, Michael M, Carr J: Sufficient conditions for effective treatment of substance abusing homeless persons. Drug and Alcohol Dependence. 1996, 43 (1-2): 39-47. 10.1016/S0376-8716(96)01286-0.View ArticlePubMedGoogle Scholar
- Beck AT, Rush AJ, Shaw BF, G E: Cognitive Therapy of Depression. 1979, New York , GuilfordGoogle Scholar
- Zeiss AM, Lewinsohn PM, Munoz RF: Nonspecific improvement effects in depression using interpersonal skills training, pleasant activity schedules, or cognitive training. Journal of Consulting and Clinical Psychology. 1979, 47 (3): 427-439. 10.1037/0022-006X.47.3.427.View ArticlePubMedGoogle Scholar
- Fairweather GW, Simon R, Gebhard ME, Weingarten E, Holland JL, Sanders R: Relative effectiveness of psychotherapeutic programs: a multicriteria comparison of four programs for three different patient groups. Psychological Monographs. 1960, 492-Google Scholar
- United States Congress: McKinney Homeless Assistance Act. 1987, Pub L No. 100-77; 1987:Google Scholar
- Derogatis LR: The SCL-R-Manual I: Scoring, Administration and Procedures for the SCL-90. 1977, Baltimore, MD , Clinical Psychometric ResearchGoogle Scholar
- Weddington WW, Brown BS, Haertzen CA, Cone EJ, Dax EM, Herning RI, Michaelson BS: Changes in mood, craving, and sleep during short-term abstinence reported by male cocaine addicts. A controlled, residential study. Archives of General Psychiatry. 1990, 47 (9): 861-868.View ArticlePubMedGoogle Scholar
- Hudziak JJ, Helzer JE, Wetzel MW, Kessel KB, McGee B, Janca A, Przybeck T: The use of the DSM-III-R Checklist for initial diagnostic assessments. Comprehensive Psychiatry. 1993, 34 (6): 375-383. 10.1016/0010-440X(93)90061-8.View ArticlePubMedGoogle Scholar
- Eaton WW, Kessler LG: Epidemiologic Field Methods in Psychiatry: The NIMH Epidemiologic Catchment Area Program. 1985, Orlando, FL , Academic PressGoogle Scholar
- Robins LN, Helzer JE, Croughan J, Ratcliff KS: National Institute of Mental Health Diagnostic Interview Schedule. Its history, characteristics, and validity. Arch Gen Psychiatry. 1981, 38 (4): 381-389.View ArticlePubMedGoogle Scholar
- Helzer JE, Robins LN, McEvoy LT, Spitznagel EL, Stoltzman RK, Farmer A, Brockington IF: A comparison of clinical and diagnostic interview schedule diagnoses. Physician reexamination of lay-interviewed cases in the general population. Arch Gen Psychiatry. 1985, 42 (7): 657-666.View ArticlePubMedGoogle Scholar
- Hasin D, Samet S, Nunes E, Meydan J, Matseoane K, Waxman R: Diagnosis of comorbid psychiatric disorders in substance users assessed with the Psychiatric Research Interview for Substance and Mental Disorders for DSM-IV. Am J Psychiatry. 2006, 163 (4): 689-696. 10.1176/appi.ajp.163.4.689.View ArticlePubMedGoogle Scholar
- Serdaru M, Hausser-Hauw C, LaPlane D, Buge A, Castaigne P, Goulon M, Lhermitte F, Hauw JJ: The clinical spectrum of alcoholic pellagra encephalopathy. Brain. 1988, 111: 829-842.View ArticlePubMedGoogle Scholar
- Zeger SL, Liang KY: Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986, 42 (1): 121-130. 10.2307/2531248.View ArticlePubMedGoogle Scholar
- Raudenbush SW, Bryk AS: Hierarchical Linear Models. Applications and Data Analysis Methods (2nd Edition). 2001, Thousand Oaks , Sage PublicationsGoogle Scholar
- McNamara C, Schumacher JE, Milby JB, Wallace D, Usdan S: Prevalence of nonpsychotic mental disorders does not affect tratment outcome in a homeless cocaine-dependent sample. American Journal of Drug and Alcohol Abuse. 2001, 27 (1): 91-106. 10.1081/ADA-100103120.View ArticlePubMedGoogle Scholar
- Moggi F, Brodbeck J, Koltzsch K, Hirsbrunner HP, Bachmann KM: One-year follow-up of dual diagnosis patients attending a 4-month integrated inpatient treatment. European Addiction Research. 2002, 8 (1): 30-37. 10.1159/000049485.View ArticlePubMedGoogle Scholar
- Drake RE, Xie H, McHugo GJ, Shumway M: Three-year outcomes of long-term patients with co-occurring bipolar and substance use disorders. Biol Psychiatry. 2004, 56 (10): 749-756. 10.1016/j.biopsych.2004.08.020.View ArticlePubMedGoogle Scholar
- Lukoff D, Liberman RP, Nuechterlein KH: Symptom monitoring in the rehabilitation of schizophrenic patients. Schizophr Bull. 1986, 12 (4): 578-602.View ArticlePubMedGoogle Scholar
- Hasin DS, Trautman KD, Miele GM, Samet S, Smith M, Endicott J: Psychiatric Research Interview for Substance and Mental Disorders (PRISM): reliability for substance abusers. American Journal of Psychiatry. 1996, 153 (9): 1195-1201.View ArticlePubMedGoogle Scholar
- Kertesz SG, Horton NJ, Friedmann PD, Saitz R, Samet JH: Slowing the revolving door: stabilization programs reduce homeless persons' substance use after detoxification. Journal of Substance Abuse Treatment. 2003, 24 (3): 197-207. 10.1016/S0740-5472(03)00026-6.View ArticlePubMedGoogle Scholar
- Nuttbrock LH, Ng-Mak DS, Rahav M, Rivera JJ: Pre- and post-admission attrition of homeless, mentally ill chemical abusers referred to residential treatment programs. Addiction. 1997, 92 (10): 1305-1315. 10.1111/j.1360-0443.1997.tb02849.x.View ArticlePubMedGoogle Scholar
- Managed Care Initiative Panel on Co-occurring Disorders: Co-occurring disorders in managed care systems: Standards of care, practice guidelines, workforce competencies, and training curricula. 1998, Rockville , Center for Mental Health ServicesGoogle Scholar
- Minkoff K: Developing standards of care for individuals with co-occurring psychiatric and substance use disorders. Psychiatric Services. 2001, 52 (5): 597-599. 10.1176/appi.ps.52.5.597.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.