James W. Langenbucher

The comorbidity of alcoholism and personality disorders in a clinical population: prevalence rates and relation to alcohol typology variables.

This study assessed prevalence rates and overlap among Diagnostic and Statistical Manual of Mental Disorders (3rd ed., revised; DSM-III-R; American Psychiatric Association, 1987) personality disorders in a multisite sample of 366 substance abusers in treatment. In addition, the relation of antisocial personality disorder (APD), borderline personality disorder (BPD), and paranoid personality disorder (PPD) to alcohol typology variables was examined. Structured diagnostic interviews and other measures were administered to participants at least 14 days after entry into treatment. Results indicated high prevalence rates for APD and non-APD disorders. There was extensive overlap between Axis I disorders and personality disorders, and among personality disorders themselves. APD, BPD, and PPD were linked to more severe symptomatology of alcoholism and other clinical problems. However, only APD and BPD satisfied subtyping criteria, after controlling for other comorbidity. Implications for classifying alcoholics by comorbid disorders are discussed.

An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV.

Item response theory (IRT) is supplanting classical test theory as the basis for measures development. This study demonstrated the utility of IRT for evaluating DSM-IV diagnostic criteria. Data on alcohol, cannabis, and cocaine symptoms from 372 adult clinical participants interviewed with the Composite International Diagnostic Interview--Expanded Substance Abuse Module (CIDI-SAM) were analyzed with Mplus (B. Muthen & L. Muthen, 1998) and MULTILOG (D. Thissen, 1991) software. Tolerance and legal problems criteria were dropped because of poor fit with a unidimensional model. Item response curves, test information curves, and testing of variously constrained models suggested that DSM-IV criteria in the CIDI-SAM discriminate between only impaired and less impaired cases and may not be useful to scale case severity. IRT can be used to study the construct validity of DSM-IV diagnoses and to identify diagnostic criteria with poor performance.

Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: implications for DSM-V.

Item response theory (IRT) has advantages over classical test theory in evaluating diagnostic criteria. In this study, the authors used IRT to characterize the psychometric properties of Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV; American Psychiatric Association, 1994) alcohol and cannabis use disorder symptoms among 472 clinical adolescents. For both substances, DSM-IV symptoms fit a model specifying a unidimensional latent trait of problem severity. Threshold (severity) parameters did not distinguish abuse and dependence symptoms. Abuse symptoms of legal problems and hazardous use, and dependence symptoms of tolerance, unsuccessful attempts to quit, and physical-psychological problems, showed relatively poor discrimination of problem severity. There were gender differences in thresholds for hazardous use, legal problems, and physical-psychological problems. The results illustrate limitations of DSM-IV criteria for alcohol and cannabis use disorders when applied to adolescents. The development process for the fifth edition (DSM-V) should be informed by statistical models such as those used in this study.

How Should We Revise Diagnostic Criteria for Substance Use Disorders in the DSM-V?

This article reviews literature on the validity and performance characteristics of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) diagnostic criteria for substance use disorders (SUDs) and recommends changes in these criteria that should be considered for the next edition of the DSM (DSM-V). Substantial data indicate that DSM-IV substance abuse and substance dependence are not distinct categories and that SUD criteria are best modeled as reflecting a unidimensional continuum of substance-problem severity. The conceptually and empirically problematic substance abuse diagnosis should be abandoned in the DSM-V, with substance dependence defined by a single set of criteria. Data also indicate that various individual SUD criteria should be revised, dropped, or considered for inclusion in the DSM-V. The DSM-V should provide a framework that allows the integration of categorical and dimensional approaches to diagnosis. Important areas for further research are noted.

Onset and staging of DSM-IV alcohol dependence using mean age and survival-hazard methods.

Orderly onset of psychiatric symptoms has implications for both case detection and the construct validity of the underlying illness. Mean age and survival-hazard techniques were used to study the onset of alcohol abuse and dependence (as defined in the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders; American Psychiatric Association, 1994) in 369 clinical cases drawn from a heterogeneous regional sample. The methods provided a similar general pattern of symptom sequencing, though only survival-hazard analysis described a punctuated onset of alcoholism in 3 discrete stages: alcohol abuse, dependence, and accommodation to the illness. This model survived a rigorous program of tests for goodness of fit and described the majority of the sample, supporting the construct validity of both alcohol abuse as a discrete first illness phase and of dependence as a set of core constructs distinct from and succeeding abuse. The specific strengths of survival-hazard analysis as a research tool in illness staging research are discussed.

Toward the DSM-V: The Withdrawal-Gate Model versus the DSM-IV in the diagnosis of alcohol abuse and dependence.

The Diagtnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) classifies as dependent many cases of mild alcohol problems. DSM-IV diagnoses have modest relationships with predictive and some concurrent validators and often improperly sequence the onset of abuse versus dependence, perhaps due to insufficient emphasis on physiological features. Testing reliability, syndrome prevalence, syndrome sequencing, and concurrent and predictive validity, this study contrasted the DSM-IV with the Withdrawal-Gate Model (WGM), in which alcohol withdrawal is necessary and sufficient for the dependence diagnosis. Clinical samples of adults (baseline n = 318) and adolescents (baseline n = 214) meeting abuse or dependence were assessed for DSM-IV alcohol symptoms and external measures of problem severity and reinterviewed at 6 (adults) and 12 months (adults and adolescents). Among DSM-IV dependent cases, the WGM shifted 32% of adults and 80% of adolescents to the abuse category, making both categories more symptomatically severe, but had a negligible effect on the prevalence of total alcohol diagnoses. The WGM was more reliable than the DSM-IV and temporally sequenced abuse before dependence in a greater number of cases. The WGM was superior to the DSM-IV in concurrent and predictive validity on most measures. Future diagnostic systems may be more reliable and valid if they require evidence of withdrawal for substance dependence.

Body image disturbance in 1000 male appearance and performance enhancing drug users.

Body image disturbance (BID) among men has only recently become a phenomenon of clinical significance with noted heterogeneity in the behavioral consequences of these disturbances. The degree of heterogeneity among appearance and performance enhancing drug (APED) users is unknown and an empirically derived framework for studying BID is necessary. APED users (N=1000) were recruited via the Internet and they completed a comprehensive online assessment APED use patterns, motivations, consequences, and BID. Data were evaluated using latent trait, latent class, and factor mixture models. Model results were validated using a range of covariates including cycle characteristics, age, APED history, and APED risk. A 1-Factor, 4-Class model provided the best fit to the data with Class 1 scoring the highest on all measures of BID and Class 4 the lowest on all measures. Class 2 differed in their preference for being lean over muscular and Class 3 preferred adding mass and size. Each class was associated with unique risks, APED history, and training identity. Not all APED users suffer from significant BID and there are unique profiles for those with elevated BID. Future research on male BID should account for this structure in order to better define relevant diagnostic categories and evaluate the clinical significance of BID.

The Validity of Self-Reported Cost Events by Substance Abusers

The following review considers data on the validity of self-reports in addict populations, and then it discusses (a) the types of cost-related questions and the assumptions underlying them that are useful to the evaluation of addictions treatment, (b) both internal and external sources of invalidity, (c) the limits on cost-related information that is gathered from administrative databases, (d) methods for assessing measure validity, and (e) the means for improving the validity of self-reports of cost events. With some important exceptions, addicts provide valid data about both medical and criminal cost events. Skilled socioeconomic researchers able to monetarize these events should be able to produce significant cost of illness, cost offset, cost-benefit, and cost-effectiveness research using self-report data.

Modeling population heterogeneity in appearance-and performance-enhancing drug (APED) use : Applications of mixture modeling in 400 regular APED users

Appearance- and performance-enhancing drugs (APEDs) constitute a wide range of substances, including anabolic-androgenic steroids, nonsteroidal anabolics, and licit and illicit ergo/thermogenics. A great deal of heterogeneity exists in APED use patterns among weight-lifting men, and, consequently, little is known about how these patterns are related to side effect profiles or risk potential. In the current study, a sample of 400 adult men who were regular APED users completed an interactive Web-based instrument detailing information about APED use, side effects, and related indicators of risk. To explore the heterogeneity of APED use patterns, the authors subjected data on use patterns to (a) latent class analysis (LCA), (b) latent trait analysis (LTA), and (c) factor mixture analysis to determine the best model of APED use. Results indicated that a 4-class factor mixture model provided a better fit than LCA and LTA models. The authors also found that severity and latent class were uniquely associated with negative outcomes. Each of the 4 classes was associated with unique side effects, motivations, and participant use patterns. Implications for identifying pathological forms of APED use are discussed.

Measuring diagnostic agreement.

Diagnostic agreement tests the reliability and concordance of diagnostic systems. The introduction of measures of agreement with reputations for baserate independence (e.g., Yules Y and Q), and new studies occasioned by the publication of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) and the International Classification of Diseases--10 (ICD-10; World Health Organization, 1992) make it necessary to study the relationship of illness baserates to measures of agreement. Testing diagnostic concordance for diagnoses of drug dependence from the third edition of the DSM (American Psychiatric Association, 1980) versus DSM-IV diagnoses of drug dependence under 3 baserate conditions, it was found that Yules Y and Q proved as vulnerable to differences in baserates as kappa or percent agreement and that specificity covaried with baserate rather than being fixed, as most theoretical discussions assume. The uncritical use of Y and Q, therefore, is likely to lead to optimistic interpretations of agreement. Kappa should be preferred for most purposes, although an adjustment to the computational formulas for Y and Q is presented that can diminish their positive bias.