853 resultados para Illicit Drug Use


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This study was carried out by participants in a North Tipperary Community Services drug/alcohol awareness course. Its objectives were to: assess the level of drug and alcohol awareness among second-level students under the age of 18 years; to find out the extent of under-age drinking;to find out the extent of the use of illegal substances as well as stimulants such as glue and solvents in this age group; and to use this information to develop educational programmes for parents and students. Date was obtained through a survey of 1500 secondary school students in the North Tippeary area. The survey found that, although ilict drug use was very low, abuse of alcohol was quite common.This resource was contributed by The National Documentation Centre on Drug Use.

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The objective of this study is to determine the extent of the problem of poly-drug (multiple-drug) use among patients receiving methadone. The study investigated levels and patterns of cocaine and cannabis use in opiate dependent patients receiving methadone treatment. This research also examines risks associated with injecting cocaine. A total number of 851 methadone patients receiving treatment for opiate related problems participated in the survey from a total number of 1082 patients receiving treatment in these clinics. This figure accounts for 80.1%. Participants reported the frequency and intensity of cocaine and cannabis use. Data collected showed that 42% of the methadone patients are using cannabis on a daily basis and that 77.47% had a history of cocaine use. The figure of cocaine use is an important indicator of the level and extent of cocaine use. It is valuable from a public health perspective to assess needs, and to plan and evaluate services. The survey concluded that cocaine abuse is emerging as a problem in the Irish drug sceneThis resource was contributed by The National Documentation Centre on Drug Use.

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The female prisoner population are a very specific group with very different needs to that of the general population. The study sets out to profile these women and to examine their use of tobacco, alcohol and other substances. A census sample of female prisoners was frequency matched for age with male prisoners and also the female general population. Response rate was 74.6%. Results illustrated that female prisoners are, in the majority from a lower social group, from deprived backgrounds and from families where unemployment is high and education is low. Female prisoners smoke more, take more drugs (including heroin and injection drugs) and drink considerably more when compared to the above groups. They have more alcohol related difficulties as a result of another persons drinking, illustrating high rates of verbal, physical and sexual assault. The prison setting may be the first and possibly the only opportunity for health education and promotion for this particular group. Therefore, with such high reported levels of smoking, alcohol and other substance use, the prison provides a good setting for health promotion interventions.This resource was contributed by The National Documentation Centre on Drug Use.

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Prevalence surveys in Ireland indicate an increased trend of youth drug use with rural areas reporting comparable drug availability and prevalence of use in urban settings (Currie, C., Nic Gabhainn, S., Godeau, E., Roberts, C., Smith, R., & Currie, D. (Eds.). (2008). Inequalities in young people's health: HBSC international report from the 2005/2006 survey. Copenhagen: WHO Regional Office for Europe). Few studies have explored the contexts and meaning of drug use on rural youth transitions in terms of increased drug prevalence, recent influx of rural drug activity, normative tolerance of recreational drug consumption and fragmentation of traditional rural communities. Qualitative interviews were conducted with 220 young people (15–17 years), and 78 service providers in a rural area of Ireland, in order to yield contextualized narratives of their experiences of drug use and achieve a wider exploration of processes, drug transitions and realities of rural youth. The thematic analysis of the research described varied pathways, attitudes and typologies of rural youth drug use, ranging from abstinent, recreational and moderated to maturing out. The research suggests support for a ‘differentiated’ normalization theory (Shildrick, T. (2002). Young people, illicit drug use and the question of normalisation theory. Journal of Youth Studies, 5, 35–48) in terms of consumerist and normative rural youth drug use transitions in their negotiation of risk within integrating rural and urban dichotomies. In conclusion, it is recommended that drug education programmes need to situate localized rural drug taking behaviours within a wider understanding of rural community life.This resource was contributed by The National Documentation Centre on Drug Use.

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Substance use behaviors of young people attending a special school are reported over a 4-year period from the age of 12-16 years. The article investigated these behaviors by surveying a cohort of young people with a statement for moderate learning disabilities annually during the last 4 years of compulsory schooling. The findings show that these young people consistently reported lower levels of tobacco, alcohol, and cannabis use compared with those attending mainstream school. No other illicit drug use was reported. The potential implications of these findings are discussed in relation to the context and timing of targeted substance education and prevention initiatives for young people with moderate learning disability attending a special school.This resource was contributed by The National Documentation Centre on Drug Use.

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This study was designed to investigate the lifestyle and substance use habits of dance music event attendees together with their attitudes toward prevention of substance misuse, harm reduction measures and health-care resources. A total of 302 attendees aged 16-46 years (mean=22.70, S.D.=4.65) were randomly recruited as they entered dance music events. Rates for lifetime and current use (last 30 days) were particularly high for alcohol (95.3% and 86.6%, respectively), cannabis (68.8% and 53.8%, respectively), ecstasy (40.4% and 22.7%, respectively) and cocaine (35.9% and 20.7%, respectively). Several patterns of substance use could be identified: 52% were alcohol and/or cannabis only users, 42% were occasional poly-drug users and 6% were daily poly-drug users. No significant difference was observed between substance use patterns according to gender. Pure techno and open-air events attracted heavier drug users. Psychological problems (such as depressed mood, sleeping problems and anxiety attacks), social problems, dental disorders, accidents and emergency treatment episodes were strongly related to party drug use. Party drug users appeared to be particularly receptive to harm reduction measures, such as on-site emergency staff, pill testing and the availability of cool water, and to prevention of drug use provided via counseling. The greater the involvement in party drug use, the greater the need for prevention personnel to be available for counseling. General practitioners appeared to be key professionals for accessing health-care resources.

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AIM: To assess whether repeating a grade was associated with drug use among adolescents after controlling for personal, family and school-related variables, and whether there were differences between students in mandatory and post-mandatory school. METHODS: Data were drawn from the Catalonia Adolescent Health Survey, a cross-sectional study of in-school adolescents aged 14-19 y. The index group included 366 subjects who were repeating a grade at the time the survey was carried out (old-for-grade, OFG). A control group matched by gender, school and being one grade ahead was randomly chosen among all the subjects who had never repeated a grade. All statistically significant variables in the bivariate analysis were included in a multivariate analysis. In a second step, all analyses were repeated for students in mandatory (14-16 y) and post-mandatory (17-19 y) school. RESULTS: After controlling for background variables, subjects in the index group were more likely to perceive that most of their peers were using synthetic drugs and to have ever used them, to have bad grades and a worse relationship with their teachers. OFG students in mandatory school were more likely to have divorced parents, bad grades and have ever used synthetic drugs, whereas they were less likely to be regular drinkers. OFG students in post-mandatory school were more likely to have below average grades, to be regular smokers and to perceive that most of their peers used synthetic drugs. CONCLUSIONS: When background variables are taken into consideration, the relationship between repeating a grade and drug use is not so clear. By increasing the familial and academic support of adolescents with academic underachievement, we could reduce their drug consumption.

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AIM: To investigate the relationships between six classes of non-medical prescription drug use (NMPDU) and five personality traits. METHODS: Representative baseline data on 5777 Swiss men around 20 years old were taken from the Cohort Study on Substance Use Risk Factors. NMPDU of opioid analgesics, sedatives/sleeping pills, anxiolytics, antidepressants, beta-blockers and stimulants over the previous 12 months was measured. Personality was assessed using the Brief Sensation Seeking Scale; attention deficit-hyperactivity (ADH) using the Adult Attention-Deficit-Hyperactivity Disorder Self-Report Scale; and aggression/hostility, anxiety/neuroticism and sociability using the Zuckerman-Kuhlmann Personality Questionnaire. Logistic regression models for each personality trait were fitted, as were seven multiple logistic regression models predicting each NMPDU adjusting for all personality traits and covariates. RESULTS: Around 10.7% of participants reported NMPDU in the last 12 months, with opioid analgesics most prevalent (6.7%), then sedatives/sleeping pills (3.0%), anxiolytics (2.7%), and stimulants (1.9%). Sensation seeking (SS), ADH, aggression/hostility, and anxiety/neuroticism (but not sociability) were significantly positively associated with at least one drug class (OR varied between 1.24, 95%CI: 1.04-1.48 and 1.86, 95%CI: 1.47-2.35). Aggression/hostility, anxiety/neuroticism and ADH were significantly and positively related to almost all NMPDU. Sociability was inversely related to NMPDU of sedatives/sleeping pills and anxiolytics (OR, 0.70; 95%CI: 0.51-0.96 and OR, 0.64; 95%CI: 0.46-0.90, respectively). SS was related only to stimulant use (OR, 1.74; 95%CI: 1.14-2.65). CONCLUSION: People with higher scores for ADH, aggression/hostility and anxiety/neuroticism are at higher risk of NMPDU. Sociability appeared to protect from NMPDU of sedatives/sleeping pills and anxiolytics.

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BACKGROUND: Studies about beverage preferences in a country in which wine drinking is relatively widespread (like Switzerland) are scarce. Therefore, the main aims of the present study were to examine the associations between beverage preferences and drinking patterns, alcohol-related consequences and the use of other substances among Swiss young men. METHODS: The analytical sample consisted of 5399 Swiss men who participated in the Cohort Study on Substance Use Risk Factors (C-SURF) and had been drinking alcohol over the preceding 12 months. Logistic regression analyses were conducted to study the associations between preference for a particular beverage and (i) drinking patterns, (ii) negative alcohol-related consequences and (iii) the (at-risk) use of cigarettes, cannabis and other illicit drugs. RESULTS: Preference for beer was associated with risky drinking patterns and, comparable with a preference for strong alcohol, with the use of illicit substances (cannabis and other illicit drugs). In contrast, a preference for wine was associated with low-risk alcohol consumption and a reduced likelihood of experiencing at least four negative alcohol-related consequences or of daily cigarette smoking. Furthermore, the likelihood of negative outcomes (alcohol-related consequences; use of other substances) increased among people with risky drinking behaviours, independent of beverage preference. CONCLUSIONS: In our survey, beer preference was associated with risky drinking patterns and illicit drug use. Alcohol polices to prevent large quantities of alcohol consumption, especially of cheaper spirits like beer, should be considered to reduce total alcohol consumption and the negative consequences associated with these beverage types.

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BACKGROUND: Cigarette smoking is often initiated at a young age as well as other risky behaviors such as alcohol drinking, cannabis and other illicit drugs use. Some studies suggest that cigarette smoking may have an influence on other risky behaviors but little is known about the chronology of occurrence of those different habits. The aim of this study was to assess, by young men, what were the other risky behaviors associated with cigarette smoking and the joint prevalence and chronology of occurrence of those risky behaviors. METHODS: Cross-sectional analyses of a population-based census of 3526 young men attending the recruitment for the Swiss army, aged between 17 and 25 years old (mean age: 19 years old), who filled a self reported questionnaire about their alcohol, cigarettes, cannabis and other illicit drugs habits. Actual smoking was defined as either regular smoking (¡Ý1 cigarette/day, on every day) or occasional smoking, binge drinking as six or more drinks at least twice a month, at risk drinking as 21 drinks or more per week, recent cannabis use as cannabis consumption at least once during the last month, and use of illicit drugs as consumption once or more of illicit drugs other than cannabis. Age at begin was defined as age at first use of cannabis or cigarette smoking. RESULTS: In this population of young men, the prevalence of actual smoking was 51.2% (36.5% regular smoking, 14.6% occasionnal smoking). Two third of participamnts (60.1%) declared that they ever used cannabis, 25.2% reported a recent use of cannabis. 53.8% of participants had a risky alcohol consumption considered as either binge or at risk drinking. Cigarette smoking was significantly associated with recent cannabis use (Odds Ratio (OR): 3.85, 95% Confidence Interval (CI): 3.10- 4.77), binge drinking (OR: 3.48, 95% CI: 3.03-4.00), at risk alcohol drinking (OR: 4.04, 95% CI: 3.12-5.24), and ever use of illicit drugs (OR: 4.34, 95% CI: 3.54-5.31). In a multivariate logistic regression, odds ratios for smoking were increased for cannabis users (OR 3.10,, 95% CI: 2.48-3.88), binge drinkers (OR: 1.77, 95% CI: 1.44-2.17), at risk alcohol drinkers (OR 2.26, 95% CI: 1.52-3.36) and ever users of illicit drugs (OR: 1.56, 95% CI: 1.20-2.03). The majority of young men (57.3%) initiated smoking before cannabis and mean age at onset was 13.4 years old, whereas only 11.1% began to use cannabis before smoking cigarettes and mean age at onset was slightly older (14.4 years old). 31.6% started both cannabis and tobacco at the same age (15 years old). About a third of participants (30.5%) did have a cluster of risky behaviours (smoking, at risk drinking, cannabis use) and 11.0% did cumulate smoking, drinking, cannabis and ever use of illegal drugs. More than half of the smokers (59.6%) did cumulate cannabis use and at risk alcohol drinking whereas only 18.5% of non-smokers did. CONCLUSIONS: The majority of young smokers initiated their risky behaviors by first smoking and then by other psychoactive drugs. Smokers have an increased risk to present other risky behaviors such as cannabis use, at risk alcohol consumtion and illicit drug use compared to nonsmokers. Prevention by young male adults should focus on smoking and also integrate interventions on other risky behaviors.

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Marijuana use has been associated with increased appetite, high caloric diet, acute increase in blood pressure, and decreases in high-density lipoprotein cholesterol and triglycerides. Marijuana is the most commonly used illicit drug in the United States, but its long-term effects on body mass index (BMI) and cardiovascular risk factors are unknown. Using 15 years of longitudinal data from 3,617 black and white young adults participating in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we assessed whether marijuana use was associated with caloric intake, BMI, and cardiovascular risk factors. Of the 3,617 participants, 1,365 (38%) reported ever using marijuana. Marijuana use was associated with male gender, tobacco smoking, and other illicit drug use. More extensive marijuana use was associated with a higher caloric intake (2,746 kcal/day in never users to 3,365 kcal/day in those who used marijuana for > or = 1,800 days over 15 years) and alcohol intake (3.6 to 10.8 drinks/week), systolic blood pressure (112.7 to 116.5 mm Hg), and triglyceride levels (84 to 100 mg/dl or 0.95 to 1.13 mmol/L, all p values for trend < 0.001), but not with higher BMI and lipid and glucose levels. In multivariate analysis, the associations between marijuana use and systolic blood pressure and triglycerides disappeared, having been mainly confounded by greater alcohol use in marijuana users. In conclusion, although marijuana use was not independently associated with cardiovascular risk factors, it was associated with other unhealthy behaviors, such as high caloric diet, tobacco smoking, and other illicit drug use, which all have long-term detrimental effects on health.

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SUMMARY: Reluctance has been expressed about treating chronic hepatitis C in active intravenous (IV) drug users (IDUs), and this is found in both international guidelines and routine clinical practice. However, the medical literature provides no evidence for an unequivocal treatment deferral of this risk group. We retrospectively analyzed the direct effect of IV drug use on treatment outcome in 500 chronic hepatitis C patients enrolled in the Swiss Hepatitis C Cohort Study. Patients were eligible for the study if they had their serum hepatitis C virus (HCV) RNA tested 6 months after the end of treatment and at least one visit during the antiviral therapy, documenting the drug use status. Five hundred patients fulfilled the inclusion criteria (199 were IDU and 301 controls). A minimum exposure to 80% of the scheduled cumulative dose of antivirals was reached in 66.0% of IDU and 60.5% of controls (P = NS). The overall sustained virological response (SVR) rate was 63.6%. Active IDU reached a SVR of 69.3%, statistically not significantly different from controls (59.8%). A multivariate analysis for treatment success showed no significant negative influence of active IV drug use. In conclusion, our study shows no relevant direct influence of IV drugs on the efficacy of anti-HCV therapy among adherent patients.

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BACKGROUND: Potential drug-drug interactions (PDDIs) might expand with new combination antiretroviral therapies (ART) and polypharmacy related to increasing age and comorbidities. We investigated the prevalence of comedications and PDDIs within a large HIV cohort, and their effect on ART efficacy and tolerability. METHODS: All medications were prospectively recorded in 1,497 ART-treated patients and screened for PDDIs using a customized version of the Liverpool drug interactions database. RESULTS: Overall, 68% (1,013/1,497) of patients had a comedication and 40% (599/1,497) had > or = 1 PDDI. Among patients with comedication, 2% (21/1,013) had red-flag interactions (contraindicated) and 59% (597/1,013) had orange-flag interactions (potential dose adjustment and/or close monitoring required). The latter involved mainly central nervous system drugs (49%), cardiovascular drugs (34%) and methadone (19%). In the multivariate analysis, factors associated with having a comedication were advanced age, female gender, obesity and HCV infection. Independent risk factors for PDDIs were regimens combining protease inhibitors and non-nucleoside reverse transcriptase inhibitors (odds ratio [OR] 3.06, 95% confidence interval [CI] 1.44-6.48), > or = 2 comedications (OR 1.89, 95% CI 1.32-2.70), current illicit drug use (OR 2.00, 95% CI 1.29-3.10) and patients with HCV infection (OR 1.74, 95% CI 1.19-2.56). Viral response was similar in patients with and without PDDIs (84.5% versus 86.4%; P=0.386). During follow-up, ART was modified in 134 patients with comedication regardless of the presence of PDDIs (P=0.524). CONCLUSIONS: PDDIs increase with complex ART and comorbidities. No adverse effect was noted on ART efficacy or tolerability; however, most PDDIs affected comedication but were manageable through dose adjustment or monitoring.