Background The liquids (e-liquids) used in an electronic cigarette (e-cigarette) contain myriad chemicals without adequate human inhalation safety data. Furthermore, the absence of e-liquid labeling requirements poses a formidable challenge to understanding how e-liquid constituents may promote nicotine addiction and / or have independent or synergistic biological effects when combined with nicotine. Ethyl alcohol is such a constituent, but has received little scientific interest in this context. Methods Using a randomized, double blind, crossover design, acute changes in subjective drug effects, motor performance and biochemical measures of alcohol and nicotine intake were evaluated after directed and ad lib puffing from two commercially available e-liquids containing nicotine (8 mg/ml), vanilla flavor and either 23.5% (high) or 0.4% (trace) alcohol. Results While no differences in subjective drug effects were observed between alcohol conditions, performance on the Purdue Pegboard Dexterity Test (PPDT) improved under the trace, but not under the 23.5% alcohol condition. Although plasma alcohol levels remained undetectable during testing, urine ethyl glucuronide (EtG), an alcohol metabolite, became measurable in three participants after puffing from the 23.5% alcohol e-cigarette. Conclusions Brief use of a widely available type of e-cigarette containing an e-liquid purchased from an Internet vendor can negatively impact psychomotor performance and in some instances, produce detectable levels of a urine alcohol metabolite. Given the widespread and unregulated use of e-cigarettes, especially by youth and other vulnerable populations, further studies are needed to evaluate both the acute safety and long-term health risks of using alcohol-containing e-cigarettes.

Objective Individuals with mental illness and substance use disorders smoke at elevated rates and tend to have greater difficulty quitting smoking as compared to the general population. Some believe that e-cigarettes may reduce harm associated with smoking, but little is known about e-cigarette use, perceptions, and motivations for their use among individuals with mental health and/or substance use disorders. Methods Rates and correlates of e-cigarette use, perceptions, and sources of information about e-cigarettes among smokers seeking mental health and/or substance use services (N=188) at the VA Connecticut Healthcare System were assessed via a brief survey. The Pearson χ2 test of independence was used to compare veterans who currently used e-cigarettes with those who did not. Logistic regression was used to examine independent attitudinal differences controlling for potentially confounding variables. Results Participants were generally male (90%), Caucasian (54%), and over the age of 50 (69%), with high rates of at least one mental health condition (82%), at least one substance use disorder (73%), and comorbid mental health and substance use disorders (55%). A relatively high proportion of the sample (30.9%) used e-cigarettes. These participants, compared to those who did not use e-cigarettes, were more likely to have a mental health disorder and less likely to have a substance use disorder, started smoking later in life, spent less money on smoking, and were more likely to have tried to quit “cold turkey.” Knowledge of e-cigarettes originated most often from TV, radio or personal contacts. Respondents held generally positive perceptions and motivations regarding e-cigarette use (i.e., it is socially acceptable, may help reduce/quit smoking, less harmful to others). Despite positive attributions, rates of dual use of e-cigarettes and traditional cigarettes was high (86.2%), and very few people using e-cigarettes (6.9%) indicated that e-cigarettes actually helped them quit smoking, suggesting little related harm reduction. Conclusions E-cigarettes are commonly used by smokers with mental health conditions and/or substance use disorders, a high-risk group that feels positively about e-cigarettes. However, positive regard of e-cigarettes did not appear to translate to ability to reduce or quit cigarette smoking. Safety and effectiveness research on e-cigarettes is urgently needed.

The present study investigated the empirically based factors that predicted success on conditional release among a sample of individuals conditionally discharged in Louisiana. Not guilty by reason of insanity acquittees and individuals on conditional release/discharge for incompetency to stand trial were included in the study. Success on conditional release was defined as maintenance of conditional release during the study period. Recidivism (arrest on new charges) and incidents were empirically evaluated. Success on conditional release was maintained in over 70% of individuals. Recidivism was low, with only five arrests on new charges. Success on conditional release was predicted by financial resources, not having a personality disorder, and having fewer total incidents in the program. After controlling for the influence of other variables, having an incident on conditional release was predicted by a substance use diagnosis and being released from jail. Individuals conditionally released from jail showed fewer number of days to first incident (67 vs. 575 days) compared with individuals discharged from the hospital. These data provide support for the successful management of forensic patients in the community via conditional release, although they highlight specific factors that should be considered when developing community-based release programming. Conditional release programs should consider empirical factors in the development of risk assessment and risk management approaches to improve successful maintenance of community-based forensic treatment alternatives.