162 resultados para Marijuana.


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A adolescência é usualmente marcada por mudanças ao nível do corpo, do pensamento, das atitudes e da vida social que tornam os jovens mais vulneráveis a desenvolver comportamentos irracionais e impulsivos como o consumo de substâncias psicoativas. Neste sentido, o principal objetivo deste estudo é compreender as crenças e atitudes que motivam os jovens adolescentes a usar substâncias como álcool, tabaco e outras substâncias psicoativas. Para tal, foi escolhida uma amostra por conveniência entre os estudantes de três escolas pertencentes ao Instituto Politécnico de Portalegre, nomeadamente a Escola Superior de Educação de Portalegre, a Escola Superior de Tecnologia e Gestão de Portalegre e a Escola Superior de Saúde de Portalegre. A amostra é constituída por 193 estudantes, sendo que a idade dos participantes oscila entre os 18 anos e os 25 anos. Deste modo, foi aplicado o questionário HIT-D&A que permite medir as crenças e atitudes dos jovens, associadas ao uso de substâncias psicoativas como o álcool, o tabaco e outras substâncias psicoativas ilegais. Os resultados evidenciaram que as principais substâncias psicoativas consumidas pelos jovens são o álcool, seguindo-se o tabaco e a marijuana. Outra conclusão é a existência de diferenças significativas entre os dois géneros, sendo que os rapazes apresentam uma média superior face às raparigas de forma estatisticamente significativa. Embora não haja diferenças estatisticamente significativas entre faixas etárias, conclui-se que há mais consumos de substâncias psicoativas entre os jovens mais velhos. No que respeita às médias das três escolas analisadas, estas são superiores na Escola Superior de Tecnologia e Gestão de Portalegre. Os resultados também mostraram a existência de uma forte associação entre as três distorções cognitivas (centração no eu, culpar os outros e assumir o piro e minimizar e etiquetar) e os consumos das várias substâncias psicoativas.

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Statistics on employees returned to duty and results of return-to-duty tests and follow-up tests are presented separately from results of the other four test types because return-to-duty tests and follow-up tests represent a different segment of the test population and not all employers offer rehabilitation.

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Mode of access: Internet.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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Mode of access: Internet.

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National Highway Traffic Safety Administration, Washington, D.C.

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Objectives: To determine the 12-month prevalence of substance-use disorders and psychological morbidity in an Australian arrestee population. Design: Cross-sectional descriptive study. Participants and setting: 288 police arrestees at the Brisbane City Police Watch House in February and March 2001. Outcome measures: Prevalence of drug and alcohol disorders; psychological caseness according to the 28-item General Health Questionnaire; demographics and index offences. Results: 86% of the arrestees had at least one substance-use disorder; most had multiple disorders. More than 80% were substance dependent. The predominant substances used were amphetamines, marijuana, opioids and alcohol. 82% of the men and 94% of the women were suffering significant psychological distress. Conclusions: Development of services for detoxification and treatment of this population is a pressing need. The findings provide crucial information for the planning and implementation of drug courts and court diversion systems.

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Although there has been considerable research into the adverse effects of cannabis, less attention has been directed toward subjective effects that may be associated with ongoing cannabis use. Examination of self-reported cannabis effects is an important issue in understanding the widespread use of cannabis. While reviews have identified euphoria as a primary factor in maintaining cannabis use, relaxation is the effect reported most commonly in naturalistic studies of cannabis users, irrespective of the method used. Self-reported effects in 12 naturalistic and 18 laboratory studies were compared. Regardless of methodology there was considerable variation in the effects experienced. Variation has been reported in terms of opposite effects being experienced by different individuals, variation of effects by individuals within a single occasion and between occasions of use. Factors that might explain this variation are outlined. Limitations of the available literature and suggested directions for future research are discussed.

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Background: Previous research has reported both a moderate degree of comorbidity between cannabis dependence and major depressive disorder (MDD) and that early-onset cannabis use is associated with increased risks for MDD. Objective: To examine whether associations between both lifetime cannabis dependence and early cannabis use and measures of MDD, suicidal ideation, and suicide attempt persist after controlling for genetic and/or shared environmental influences. Design: Cross-sectional survey of twin pairs discordant for lifetime cannabis dependence and those discordant for early cannabis use. Setting: General population sample of twins (median age, 30 years). Participants: Two hundred seventy-seven same-sex twin pairs discordant for cannabis dependence and 311 pairs discordant for early-onset cannabis use (before age 17 years). Main Outcome Measures: Self-report measures of DSM-IV-defined lifetime MDD, suicidal ideation, and suicide attempt. Results: Individuals who were cannabis dependent had odds of suicidal ideation and suicide attempt that were 2.5 to 2.9 times higher than those of their non-cannabis-dependent co-twin. Additionally, cannabis dependence was associated with elevated risks of MDD in dizygotic but not in monozygotic twins. Those who initiated cannabis use before age 17 years had elevated rates of subsequent suicide attempt (odds ratio, 3.5 [95% confidence interval, 1.4-8.6]) but not of MDD or suicidal ideation. Early MDD and suicidal ideation were significantly associated with subsequent risks of cannabis dependence in discordant dizygotic pairs but not in discordant monozygotic pairs. Conclusions: Comorbidity between cannabis dependence and MDD likely arises through shared genetic and environmental vulnerabilities predisposing to both outcomes. In contrast, associations between cannabis dependence and suicidal behaviors cannot be entirely explained by common predisposing genetic and/or shared environmental predispositions. Previously reported associations between early-onset cannabis use and subsequent MDD likely reflect shared genetic and environmental vulnerabilities, although it remains possible that early-onset cannabis use may predispose to suicide attempt.

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Very few studies have defined trajectories of smoking. In the present study, we modeled growth in adolescent smoking and empirically identified prototypical trajectories. We conceptualized escalation of smoking as a growth process and modeled rates of change and heterogeneity of these patterns using latent growth mixture modeling. The analysis identified six trajectories with low ambiguity about group membership (early rapid escalators, late rapid escalators, late moderate escalators, late slow escalators-smokers, stable puffers, and late slow escalators-puffers). A trajectory of quitters was not identified. We also examined predictors of the smoking trajectories. The predictors were assessed across the adolescent years and included variables related to smoking and other substance use, as well as a range of variables related to sociodemographic factors and mental health. Observed change in the pattern of predictors across age has implications for the mechanism of effect of these variables in relation to smoking trajectories, including predictors that differentiated among daily smokers, variables that may determine the trajectory (e.g., friends smoking), and variables that may result from the trajectory (e.g., marijuana use, less attachment to friends).

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We outline and evaluate competing explanations of three relationships that have consistently been found between cannabis use and the use of other illicit drugs, namely, ( 1) that cannabis use typically precedes the use of other illicit drugs; and that ( 2) the earlier cannabis is used, and ( 3) the more regularly it is used, the more likely a young person is to use other illicit drugs. We consider three major competing explanations of these patterns: ( 1) that the relationship is due to the fact that there is a shared illicit market for cannabis and other drugs which makes it more likely that other illicit drugs will be used if cannabis is used; ( 2) that they are explained by the characteristics of those who use cannabis; and ( 3) that they reflect a causal relationship in which the pharmacological effects of cannabis on brain function increase the likelihood of using other illicit drugs. These explanations are evaluated in the light of evidence from longitudinal epidemiological studies, simulation studies, discordant twin studies and animal studies. The available evidence indicates that the association reflects in part but is not wholly explained by: ( 1) the selective recruitment to heavy cannabis use of persons with pre-existing traits ( that may be in part genetic) that predispose to the use of a variety of different drugs; ( 2) the affiliation of cannabis users with drug using peers in settings that provide more opportunities to use other illicit drugs at an earlier age; ( 3) supported by socialisation into an illicit drug subculture with favourable attitudes towards the use of other illicit drugs. Animal studies have raised the possibility that regular cannabis use may have pharmacological effects on brain function that increase the likelihood of using other drugs. We conclude with suggestions for the type of research studies that will enable a decision to be made about the relative contributions that social context, individual characteristics, and drug effects make to the relationship between cannabis use and the use of other drugs.

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The first part of this research assessed the longitudinal relationships between alcohol- related associative strength and alcohol use measured at two time- points, 6 months apart. Cross-lagged results support the utility of alcohol- related associative strength to predict drinking behaviours prospectively and vice versa. These results remained after competing explanations of previous use, autocorrelations between memory measures, sensation seeking and background variables of age and gender were accounted for. Findings offer further evidence for an implicit cognitions approach to drinking processes. In the second part of our study, cross-sectional analysis investigated potential mediating mechanisms in the relation of associative strength to quantity and frequency dimensions of drinking. Mediational models provide preliminary evidence that implicit memory processes may have differential effects on quantity and frequency dimensions of drinking behaviours. The results point to the possibility that increasing awareness of implicit alcohol-related associations may have utility in interventions for young adults.