Roberto Secades-Villa

Gender differences in cannabis use disorders: results from the National Epidemiologic Survey of Alcohol and Related Conditions.

BACKGROUND To examine gender differences among individuals diagnosed with DSM-IV lifetime cannabis use disorder (CUD). METHODS A nationally representative sample of U.S. adults aged 18 years or older that were diagnosed with lifetime CUD (n=3297): Men (n=2080), Women (n=1217). Data were drawn from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n=43,093). The survey response rate was 81%. RESULTS Nearly all individuals with CUD had a psychiatric comorbidity (95.6% of men, 94.1% of women). Men with lifetime CUD were more likely than women to be diagnosed with any psychiatric disorder, any substance use disorder and antisocial personality disorder, whereas women with CUD had more mood and anxiety disorders. After adjusting for gender differences in sociodemographic correlates and the prevalence of psychiatric disorders in the general population, women with CUD were at greater risk for externalizing disorders. Men with CUD met more criteria for cannabis abuse, had longer episodes of CUD, smoked more joints, and were older at remission when compared to women with CUD. Women experienced telescoping to CUD. Treatment-seeking rates were very low for both genders, and there were no gender differences in types of services used or reasons for not seeking treatment. CONCLUSIONS There are important gender differences in the clinical characteristics and psychiatric comorbidities among individuals with CUD.

Parental styles and drug use: A review

The family plays a fundamental role in the prevention and treatment of substance use. Parental styles are among the family variables most widely studied. This review covers the studies published in the last 30 years on the relationship between parental styles and their offsprings drug use. Research indicates that the authoritative style is the most protective against substance use, whilst the neglectful style would increase the risk of drug use; research on the authoritarian and permissive styles is as yet inconclusive. We discuss the need to take into account other family variables in addition to parental style, such as parents’ drug use, emotional support and warmth, family structure and the influence of culture.

Effects of voucher-based intervention on abstinence and retention in an outpatient treatment for cocaine addiction: a randomized controlled trial.

The aims of this study were to assess whether voucher magnitude improved cocaine abstinence and retention in an outpatient treatment for cocaine dependence, and to determine the effectiveness of a contingency management intervention in a European cultural context. A randomized controlled trial was conducted in which 96 participants who were randomly assigned to 1 of 3 treatment conditions in a community setting: standard outpatient treatment, community reinforcement approach (CRA) plus low monetary value vouchers (each point earned was equivalent to 0.125 Euro, US

Probability and predictors of the cannabis gateway effect: A national study

0.18), and CRA plus high monetary value vouchers (each point was worth 0.25 Euro, US

Differences among major depressive disorder with and without co-occurring substance use disorders and substance-induced depressive disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

0.36). In the standard treatment group, mean percentage of cocaine-negative samples was 88.45%, versus 96.09% in the CRA plus low-vouchers group, and 97.07% in the CRA plus high-vouchers group. Retention rate at 6 months was 36.5% in the standard treatment group, 53.3% in the CRA plus low-vouchers group, and 69.0% in the CRA plus high-vouchers group. The CRA plus vouchers groups obtained better results than the standard program. This study showed that treating cocaine addiction by combining CRA with vouchers was more effective than standard treatment in community outpatient programs in Spain.

Predictors of quit attempts and successful quit attempts in a nationally representative sample of smokers

BACKGROUND While several studies have shown a high association between cannabis use and use of other illicit drugs, the predictors of progression from cannabis to other illicit drugs remain largely unknown. This study aims to estimate the cumulative probability of progression to illicit drug use among individuals with lifetime history of cannabis use, and to identify predictors of progression from cannabis use to other illicit drugs use. METHODS Analyses were conducted on the sub-sample of participants in Wave 1 of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC) who started cannabis use before using any other drug (n=6624). Estimated projections of the cumulative probability of progression from cannabis use to use of any other illegal drug use in the general population were obtained by the standard actuarial method. Univariate and multivariable survival analyses with time-varying covariates were implemented to identify predictors of progression to any drug use. RESULTS Lifetime cumulative probability estimates indicated that 44.7% of individuals with lifetime cannabis use progressed to other illicit drug use at some time in their lives. Several sociodemographic characteristics, internalizing and externalizing psychiatric disorders and indicators of substance use severity predicted progression from cannabis use to other illicit drugs use. CONCLUSION A large proportion of individuals who use cannabis go on to use other illegal drugs. The increased risk of progression from cannabis use to other illicit drugs use among individuals with mental disorders underscores the importance of considering the benefits and adverse effects of changes in cannabis regulations and of developing prevention and treatment strategies directed at curtailing cannabis use in these populations.

Validation of smoking-related virtual environments for cue exposure therapy

OBJECTIVE To investigate the association between substance use disorders (SUDs) and the clinical presentation, risk factors, and correlates of major depressive disorder (MDD) by examining differences among 3 groups: (1) individuals with lifetime MDD and no comorbid SUD (MDD-NSUD); (2) individuals with comorbid MDD and SUD (MDD-SUD); and (3) individuals with substance-induced depressive disorder (SIDD). METHOD Data were derived from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (N = 43,093). Diagnoses were made using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV Version. RESULTS The lifetime prevalence of MDD-NSUD was 7.41%, whereas those of MDD-SUD and SIDD were 5.82% and 0.26%, respectively. Overall, risk factors for MDD were more common among individuals with MDD-SUD and SIDD than among those with MDD-NSUD. Individuals with MDD-SUD and SIDD had similar rates of comorbidity with any psychiatric disorder, but both groups had higher rates than individuals with MDD-NSUD (odds ratio [OR] = 2.3; 95% CI, 1.9-2.7 and OR = 2.5; 95% CI, 1.4-4.4, respectively). Individuals with SIDD were significantly less likely to receive medication than those with MDD-SUD or MDD-NSUD (OR = 0.5; 95% CI, 0.3-0.9 for both groups). CONCLUSIONS MDD-SUD is associated with high overall vulnerability to additional psychopathology, a higher number of and more severe depressive episodes, and higher rates of suicide attempts in comparison to individuals with MDD-NSUD. SIDD has low prevalence in the general population but is associated with increased clinical severity and low rates of medication treatment. Similar patterns of comorbidity and risk factors in individuals with SIDD and those with MDD-SUD suggest that the 2 conditions may share underlying etiologic factors.

Gender Differences in Lifetime Alcohol Dependence: Results from the National Epidemiologic Survey on Alcohol and Related Conditions

Although most current smokers report that they would like to quit, most quit attempts fail suggesting that predictors of quitting attempts may differ from those of successful attempts. We examined sociodemographic and clinical predictors of quit attempts and successful quit attempts in a nationally representative sample of US adults. Data was collected in 2001-2002 (Wave 1) and 2004-2005 (Wave 2). Almost 40% of individuals who had not previously attempted to quit, tried to quit over the next three years; only 4.6% of those who tried had succeeded at the time of the evaluation. Hispanics, Asians, individuals with high income, and those with college education were less likely to attempt to quit, whereas those with daily nicotine use, younger age at first use and most symptoms of dependence were more likely to do so. Having an educational level below high school and older age at first nicotine use were predictors of successful quitting. Despite relatively high rates of quit attempts, rates of success are extremely low, indicating a gap between the public health need of decreasing tobacco use, and existing means to achieve it. Although there is a need to encourage people to quit tobacco, there may be an equally large need to develop more effective interventions that increase the rate of successful quit attempts.

Differences among major depressive disorder with and without co-occurring substance use disorders and substance-induced depressive disorder: Results from the National Epidemiologic Survey on Alcohol and Related Conditions

Craving is considered one of the main factors responsible for relapse after smoking cessation. Cue exposure therapy (CET) consists of controlled and repeated exposure to drug-related stimuli in order to extinguish associated responses. The main objective of this study was to assess the validity of 7 virtual reality environments for producing craving in smokers that can be used within the CET paradigm. Forty-six smokers and 44 never-smokers were exposed to 7 complex virtual environments with smoking-related cues that reproduce typical situations in which people smoke, and to a neutral virtual environment without smoking cues. Self-reported subjective craving and psychophysiological measures were recorded during the exposure. All virtual environments with smoking-related cues were able to generate subjective craving in smokers, while no increase was observed for the neutral environment. The most sensitive psychophysiological variable to craving increases was heart rate. The findings provide evidence of the utility of virtual reality for simulating real situations capable of eliciting craving. We also discuss how CET for smoking cessation can be improved through these virtual tools.

Probability and predictors of relapse to smoking: Results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

BACKGROUND An extensive clinical literature has noted gender differences in the etiology and clinical characteristics of individuals with alcohol dependence (AD). Despite this knowledge, many important questions remain. METHODS Using the 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (n = 43,093), we examined differences in sociodemographic characteristics, psychiatric and medical comorbidities, clinical correlates, risk factors, and treatment-utilization patterns of men (N = 2,974) and women (N = 1,807) with lifetime AD. RESULTS Men with lifetime AD were more likely than women to be diagnosed with any substance use disorder and antisocial personality disorder, whereas women were more likely to have mood and anxiety disorders. After adjusting for sociodemographic characteristics and gender differences in psychiatric comorbidity in the general population, AD was associated with externalizing disorders and any mood disorder among women only. Men with AD met more criteria, had longer episodes, and were younger at the age of first drink. There were no gender differences in remission rates. Women with AD were more likely to have a family and a spouse with history of alcohol use disorders. Treatment rates were low for both genders, and women were more likely to report social stigmatization as a treatment barrier. CONCLUSIONS There are important gender differences in the psychiatric comorbidities, risk factors, clinical characteristics, and treatment-utilization patterns among individuals with lifetime AD.