Gender differences in planning ability and hepatitis C virus among people who inject drugs.

Hepatitis C virus (HCV) is primarily spread through risky injection practices, including sharing needles, cookers, cottons, rinse water, and the practice of backloading. An important aspect of harm reduction for people who inject drugs (PWID) is to identify factors that contribute to safer injection. Planning ability may influence risky injection practices and gender differences in factors that drive injection practices indicate a need to examine associations between planning and injection behaviors in men versus women. Data from the NEURO-HIV Epidemiologic Study was restricted to those who had ever injected in their lifetime (n=456). Impaired planning ability was assessed with the Tower of London and defined as a standardized total excess move score below the 10th percentile. We used logistic regression to estimate the gender-specific adjusted odds ratios (AOR) and 95% confidence intervals (CI) for associations between impaired planning, each injection practice, and biologically-confirmed HCV. Impaired planning ability was associated with sharing needles (AOR=2.93, 95% CI: 1.33, 6.47), cookers (AOR=3.13, 95% CI: 1.22, 8.02), cottons (AOR=2.89, 95% CI: 1.23, 6.78), rinse water (AOR=2.43, 95% CI: 1.15, 5.14), and backloading (AOR=2.68, 95% CI: 1.26, 5.70) and HCV (AOR=3.42, 95% CI: 1.03, 11.38) among men. Planning ability was not significantly associated with the injection behaviors or HCV among women, suggesting that other factors likely contribute to risky injection practices. Interventions to promote harm reduction among PWID should ascertain and strengthen planning ability. Women may have additional barriers to practicing safe injection beyond impaired planning abilities, which should also be addressed.

A latent class approach to treatment readiness corresponds to a transtheoretical ("Stages of Change") model.

Motivation for treatment among people with substance use problems is an important aspect of treatment success. Models for treatment motivation are widely debated. Latent Class Analysis can help to demonstrate the appropriateness of available models. The current study utilizes Latent Class Analysis to analyze treatment readiness statements as they relate to the reduction or cessation of marijuana, cocaine, and opioid use among 539 cocaine and opioid users recruited from the community of Baltimore, MD, USA. Participants completed an in-person structured interview including demographic questions, a treatment readiness questionnaire with items on Intention to Stop Use (ISU) and Problem Recognition (PR), current substance abuse treatment utilization, and urinalysis testing for marijuana, cocaine, and heroin. Latent class models were fit to the treatment readiness questionnaire. A four-class model provided the best fit with one class low on both ISU and PR ("Pre-contemplative"), a second class low on ISU but high on PR ("Contemplative"), a third class high on both ("Preparation/Action"), and a final class high on ISU but low on PR ("Post-Action"). Compared to the "Contemplative" class, the "Pre-contemplative" class was significantly more likely to be positive for marijuana, and the "Post-Action" class was significantly less likely to be positive for opioids. The "Preparation/Action" class was significantly more likely to be in treatment. With the exception of the "Post-Action" class, the analysis appears similar to the "Stages of Change" model and suggests that problem recognition and intention to stop use are important domains in the model. However, further longitudinal research is needed to assess predictive validity of model.

Cigarette smoking, illicit drug use, and routes of administration among heroin and cocaine users.

Cigarette smoking is ubiquitous among illicit drug users. Some have speculated that this may be partially due to similarities in the route of administration. However, research examining the relationship between cigarette smoking and routes of administration of illicit drugs is limited. To address this gap, we investigated sociodemographic and drug use factors associated with cigarette smoking among cocaine and heroin users in the Baltimore, Maryland community (N=576). Regular and heavy cigarette smokers were more likely to be White, have a history of a prior marriage, and have a lower education level. Regular smoking of marijuana and crack was associated with cigarette smoking, but not heavy cigarette smoking. Injection use was more common among heavy cigarette smokers. In particular, regular cigarette smokers were more likely to have a lifetime history of regularly injecting heroin. Optimal prevention and treatment outcomes can only occur through a comprehensive understanding of the interrelations between different substances of abuse.

Latent classes of heroin and cocaine users predict unique HIV/HCV risk factors.

BACKGROUND: Patterns of heroin and cocaine use vary and may be associated with unique risk factors for bloodborne infections. METHODS: Latent class analysis identified sub-populations of 552 heroin and cocaine users in Baltimore, Maryland. Using latent class regression, these classes were analyzed for associations with demographic characteristics, risky behaviors, Hepatitis C, and HIV. RESULTS: Three classes were found: Crack/Nasal-Heroin users (43.5%), Polysubstance users (34.8%), and Heroin Injectors (21.8%). Compared to Polysubstance users, Crack/Nasal-Heroin users were almost 7 times more likely to identify as Black (OR=6.97, 95% CI=4.35-11.2). Sharing needles was over 2.5 times more likely among Polysubstance users than among Heroin Injectors (OR=2.66, 95% CI=1.49-4.75). Crack/Nasal-Heroin users were 2.5 times more likely than Polysubstance users to exchange drugs for sex (OR=2.50, 95% CI=1.22-5.13). Crack/Nasal-Heroin users were less likely than Heroin Injectors to have Hepatitis C (OR=0.10, 95% CI=0.06-0.18), but no significant differences were found for HIV. CONCLUSIONS: Subpopulations of cocaine and heroin users differed in demographic classifications, HIV-risk behaviors, and Hepatitis C infection. All subpopulations included substantial numbers of HIV-positive individuals. Findings provide further evidence that non-injection drug users face significant infectious disease risk.

Sexually transmitted infections among pregnant heroin- or cocaine-addicted women in treatment: the significance of psychiatric co-morbidity and sex trade.

Psychiatric co-morbidity and sex trade were tested as correlates of sexually transmitted infections (STIs) among 76 pregnant heroin- or cocaine-dependent women. Participants were recruited from a drug treatment programme and attended a clinician-administered assessment including the Structured Clinical Interview for DSM-IV (SCID-IV-TR) and self-report questionnaires about lifetime histories of sex trade and STIs (i.e. gonorrhoea, syphilis, chlamydia, herpes, genital warts or trichomonas). Lifetime and six month rates of STIs were 53.9% and 18.4%, respectively. The majority of women also had lifetime histories of psychiatric co-morbidity (61.8%) and/or sex trade (60.5%). Participants with psychiatric co-morbidity (adjusted odds ratio [AOR] 3.9; 95% confidence interval [CI] 1.3-11.6) and/or sex trade (AOR 3.2; 95% CI 1.1-9.5) were more likely to report STIs during their lifetime compared with those without such histories while controlling for age, education and race/ethnicity. Results suggest that as many as one-in-five pregnant heroin- or cocaine-dependent women in treatment have one or more STIs that are concurrent with their pregnancy and may contribute to risk for contracting HIV and pregnancy complications; psychiatric co-morbidity and/or sex trade were associated with greater STI risk. Findings underscore the importance of identifying and addressing co-morbid psychiatric disorders and sex trade behaviour in this population.

Patterns of illegal drug use among an adult alcohol dependent population: results from the National Survey on Drug Use and Health.

The use of illegal drugs is common in alcohol dependence and significant psychological and social consequences are associated with the concurrent use of alcohol and illegal drugs. However, little literature has examined the patterns of concurrent-drug use in alcohol dependent individuals. A latent class analysis (LCA) was used to determine whether patterns of past year illegal drug use existed in a national sample of 6059 alcohol dependent respondents of the combined 2005, 2006 and 2007 National Survey on Drug Use and Health. Multinomial logistic regression was then used to determine whether demographic variables, mental health disturbance and social consequences were predictive of drug use classes. Results of the LCA demonstrated a 5-class solution with optimal fit deduced by Bayesian Information Criterion minima. The five classes included: a close to zero probability of illegal drug use (class 1: 65%), medium marijuana, medium sedatives/tranquilizers and high analgesics (class 2: 7%), high marijuana, medium cocaine use (class 3: 21%), high probabilities of marijuana, cocaine, sedatives and analgesic use (class 4: 6%) and a high concurrent-drug use except other hallucinogens (class 5: 1%). Regression results suggest that younger age, comorbidity, engaging in deviant behaviors, sexually transmitted infection and incarceration are associated with concurrent illegal drug use in alcohol dependent individuals. Findings advocate that more intense psychiatric and drug dependence treatment resources may be needed for concurrent-drug using alcohol dependent populations and provide evidence for targeted prevention and treatment interventions.

Child and familial pathways to academic achievement and behavioral adjustment: a prospective six-year study of children with and without ADHD.

This longitudinal study examined familial and child predictors of academic achievement and behavioral adjustment. Participants included 115 children with ADHD and 59 normative comparisons. Data analyses spanned three assessment waves from elementary- through secondary-school grades. We evaluated the degree to which child and familial factors present during middle school mediated relationships between childhood ADHD, subsequent academic achievement, and behavioral adjustment during high school. We found that emotional and behavioral well-being of ADHD children during middle school mediated relations between childhood ADHD and adverse academic and behavioral outcomes during high school. In addition, familial factors in middle school years predicted the behavioral adjustment of children in both the ADHD and non-ADHD groups. Academic achievement during high school was strongly associated with previous achievement levels. Our results provide support for tailoring preventive interventions to the unique needs of children with ADHD and their parents at various stages of adolescent development.

Clinical issues in the assessment of adolescent alcohol and other drug use.

Clinicians working with adolescents are routinely faced with the issue that alcohol and other drug (AOD) involvement may be part of the clinical picture either as a primary problem or a contributing factor to other problems or disorders. Fortunately, assessment research in this area has produced several behaviorally oriented and psychometrically sound tools from which to choose for problem identification, referral and treatment of youth suspected of AOD abuse. The aim of this paper is to provide an overview of several issues related to the clinical utility of such assessment tools.

Sociodemographic and individual predictors of alcohol policy attitudes: results from a US probability sample.

OBJECTIVE: Public views on alcohol policies have facilitated legislative change. Given limited resources, however, policy makers and prevention advocates cannot make haphazard attempts to mobilize public resources. This investigation reports sociodemographic and individual traits predicting attitudes on alcohol policies designed to reduce underage alcohol consumption. Previous studies have examined single-item measures of alcohol policy. We examined predictors of multi-item scales measuring five core dimensions of alcohol policy. METHODS: A survey of public attitudes on alcohol policies was administered to a US national probability sample of 7021 adults. RESULTS: Women, infrequent drinkers, and adults with greater knowledge about or concern for youth exhibited the greatest support across five alcohol policy scales. Older adults favored policies that restrict alcohol use in public places, whereas younger adults favored an increase in alcohol taxes to address underage alcohol use. CONCLUSIONS: Individual factors such as alcohol use frequency and concern for youth explained larger proportions of variance in alcohol policy attitudes than did sociodemographic factors. Consistent with previous research, political orientation, parental status, employment status, and marital status did not predict attitudes on alcohol policy.

Adolescent substance abuse treatment outcome: the role of substance abuse problem severity, psychosocial, and treatment factors.

A structural equation model incorporating substance abuse problem severity, psychosocial risk and protection, and treatment variables examined adolescent drug abuse treatment outcome pathways across 6- and 12-month follow-up points. Findings on resiliency factors and an empirical method adapted from previous research were used to select and assign 10 psychosocial factors to either a multiple protective factor index or a risk factor index. Gender, substance abuse problem severity, treatment modality, treatment length, and aftercare participation were also examined as outcome predictors. The findings suggest that treatment intensity decisions may be better informed by pretreatment psychosocial risk level rather than by substance abuse problem severity. The present study also suggests that drug-abusing adolescents who receive sufficiently long treatment, participate in aftercare, and possess at least 1 individual or interpersonal protective factor during their recovery process have the best chance to maintain gains made during treatment.

Demographic, individual, and interpersonal predictors of adolescent alcohol and marijuana use following treatment.

A vulnerability model of adolescent substance abuse treatment outcome provided the basis for selection of demographic, individual, interpersonal, and treatment factors to predict the follow-up use of alcohol and marijuana in a sample of adolescents (N = 225) with psychoactive substance use disorders. Pretreatment levels of sibling substance use and aftercare participation predicted alcohol and marijuana use during the first 6 months posttreatment. Pretreatment levels of deviant behavior also predicted the use of marijuana at 6-month follow-up. Peer substance use at intake and 6-month posttreatment both predicted substance use frequency outcomes at 12-month follow-up. Alcohol and marijuana use frequencies at 6-month follow-up also predicted continued use for these substances throughout the remainder of the 1st posttreatment year. Shorter treatment length and being male were risk factors for alcohol use during the 2nd half of the 1st posttreatment year. Elevated psychological substance dependence at 6-month follow-up was a unique risk factor for subsequent marijuana use. Findings support conceptual models that attempt to explain adolescent substance abuse treatment outcome in terms of relationships among demographic, individual, interpersonal, and treatment factors.

The effectiveness of the Minnesota Model approach in the treatment of adolescent drug abusers.

AIMS: The treatment outcome of drug-abusing adolescents treated with a 12-Step approach. DESIGN: The study compares drug use outcome data at 6 and 12 months post-treatment among three groups of adolescents: those who completed treatment, those who did not and those on a waiting list. Also, among treatment completers, residential and outpatient samples were compared on outcome. SETTING: The treatment site is located in the Minneapolis/St Paul area of Minnesota. PARTICIPANTS: Two hundred and forty-five drug clinic-referred adolescents (12-18 years old), all of whom met at least one DSM-III-R substance dependence disorder. One hundred and seventy-nine subjects received either complete or incomplete 12-Step, Minnesota Model treatment and 66 were waiting list subjects. MEASUREMENTS: In addition to demographics and clinical background variables, measures included treatment involvement, treatment setting and drug use frequency at intake and follow-up. FINDINGS: Absolute and relative outcome analyses indicated that completing treatment was associated with far superior outcome compared to those who did not complete treatment or receive any at all. The percentage of treatment completers who reported either abstinence or a minor lapse for the 12 months following treatment was 53%, compared to 15 and 28% for the incompleter and waiting list groups, respectively. CONCLUSIONS: Favorable treatment outcome for drug abuse was about two to three times more likely if treatment was completed. Also, there were no outcome differences between residential and outpatient groups. Alcohol was the most common drug used during the follow-up period, despite cannabis being the preferred drug at intake.

Development of a parent questionnaire for use in assessing adolescent drug abuse.

The development and initial psychometric properties of a new parent questionnaire for assessing adolescent drug abuse are described. The Personal Experience Inventory-Parent Version (PEI-PV) is intended to provide a standardized parent report as a companion measure to the adolescent self-report instrument, the Personal Experience Inventory. The PEI-PV addresses problems associated with the child's drug abuse and psychosocial factors and parenting practices that may underlie their drug involvement. Reliability and validity data are reported for two groups of mothers, 205 of whom had a child referred for an evaluation for drug treatment and 185 from a community sample. The structure and scope of the PEI-PV was supported by scale intercorrelation data; most scales had a proportion of unique, reliable variance greater than 20%. Estimates of the scale's internal consistency were found to be comparable to those of established parent questionnaires, and the observed differences between the clinic-referred and community samples were consistent with expectations. Significant convergence of mothers' reports to those of their child was obtained for nearly three-quarters of the PEI-PV scales, including moderate agreement between mother and child on the drug involvement severity scales. However, mothers tended to underreport their child's level of drug involvement and resulting problems compared to the child's self-report. The study results suggest that the PQ is associated with favorable evidence that the scales measure what they are intended to measure.

Screening for drug abuse among adolescents in clinical and correctional settings using the Problem-Oriented Screening Instrument for Teenagers.

Recent research has indicated high rates of substance abuse among adolescents with emotional and behavioral disorders. Moreover, adolescents in clinical and correctional settings found to have comorbid disorders involving substance abuse experience higher morbidity and mortality rates when compared to adolescents having one or no condition. The present study examines the ability of the Problem-Oriented Screening Instrument for Teenagers (POSIT) to identify DSM-III-R-defined psychoactive substance use disorders among 342 adolescents aged 12-19 years. Participants were sampled from school, clinical, and correctional settings. Optimal-scale cut scores for drug abuse diagnosis classification were derived by a minimum loss function method that minimized false classifications. When using the optimal cut score of two for the total sample, the standard POSIT substance use/abuse scale obtained a drug abuse diagnosis classification accuracy of 84% with sensitivity and specificity ratios of 95% and 79%, respectively. The internal validity of the standard 17-item substance use/abuse scale was subsequently examined by principle component analysis, item analysis, and coefficient alpha. The internal validity analyses were conducted to determine if a shortened scale could be developed and yet retain acceptable classification accuracy. When using the optimal cut score of two for the total sample, the revised 11-item scale obtained a drug abuse diagnosis classification accuracy of 85% with sensitivity and specificity ratios of 91% and 82%, respectively. The results suggest that the POSIT can serve as a useful first-gate instrument to identify adolescents in need of further drug abuse assessment.