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1.
Alcohol Alcohol ; 41(5): 505-11, 2006.
Article in English | MEDLINE | ID: mdl-16751219

ABSTRACT

AIMS: Though glutamic acid is well known as a working excitatory in the CNS, its impact on the modulation of alcohol withdrawal symptoms and withdrawal fits are not yet clear. The study has been undertaken to examine the levels of glutamic acid in chronic alcohol-dependent patients at different stages of alcohol withdrawal and weaning and to examine any existence of any differences according to Cloninger's and Lesch's typologies. PATIENTS AND METHODS: One hundred and fifty-nine alcohol-dependent patients were assessed according to Cloninger's and Lesch's typologies and related to abstinence duration, age, and gender. Blood samples were taken for mean corpuscular volume (MCV), gamma-glutamyltransferase (GGT) and glutamic acid, in order to find primarily any differences in glutamic acid according to the typologies, age, abstinence duration, and liver damage. RESULTS: There was no significant association between Cloninger's and Lesch's typologies. Cloninger's types 1 and 2 had an equal distribution of GGT and duration of abstinence, while Lesch's type I had more patients with high GGT, and more patients who were sober for a maximum of 2 days. Unlike in Lesch's types, glutamic acid levels did not differ according to Cloninger's types, as significantly higher glutamic acid values were found in Lesch's types I and IV. Glutamic acid values did not differ significantly in different age groups. CONCLUSIONS: Our study findings of varying glutamic acid levels seen in Lesch's typology, higher in types I and IV than in types II and III, are of significant clinical value and can be interpreted differently, as in type I high levels of glutamic acid is seen as a kindling phenomenon, while in type IV elevated levels might be related to either compulsivity of frequent repetition of drinking or withdrawal.


Subject(s)
Alcoholism/blood , Ethanol/adverse effects , Glutamic Acid/blood , Substance Withdrawal Syndrome/blood , Adult , Aged , Alcoholism/classification , Analysis of Variance , Chi-Square Distribution , Erythrocyte Indices , Female , Humans , Male , Middle Aged , Risk Factors , Statistics, Nonparametric , Temperance , gamma-Glutamyltransferase/blood
2.
Alcohol Alcohol ; 41(2): 188-92, 2006.
Article in English | MEDLINE | ID: mdl-16322099

ABSTRACT

AIMS: To assess recent drug use through urine testing as well as the prevalence of tobacco and alcohol dependence among young males and to analyse the associations between tobacco dependence and cannabis use (delta-9-tetrahydrocannabinol, THC), tobacco dependence, and alcohol dependence as well as between THC use and other illicit drug use. METHODS: Urine samples were collected, and nicotine and alcohol questionnaires were administered. Carbon monoxide was assessed in exhaled air. Data from young males from representative, selected districts of Lower Austria were recorded during the annual physical examination for mandatory military service. Out of all 18-year-old males in Austria 3.8% (n = 1902) were included in the study. Prevalence of recent illicit drug use, tobacco dependence (heavy smoking index, HSI), alcohol dependence (The 4-item cutting down, annoyance by criticism, guilty feeling, and eye-openers (CAGE) questionnaire), and associations between substance categories by means of logistic regression analyses were calculated. RESULTS: Alcohol abuse was found in 15.1% and alcohol dependence was found in 3.2%. According to the HSI 51.5% of males reported daily smoking, of whom 43.7% showed a mild level, and 7.8% a high level, of nicotine dependence. About 5.1% of the sample evidenced THC in urine. Opiates were identified in 2.7% of urine samples. Smokers showed a higher risk of THC use. THC users had a tendency to use cocaine and amphetamines more frequently than THC abstainers. CONCLUSION: Nicotine and alcohol dependence is common among young males. Biological assessment of illicit drug use seems to confirm previous questionnaire-based findings of associations between THC use and other illicit drugs. Urine testing seems to be an adequate method to analyse associations of THC use and other illicit drugs. In combination with questionnaires urine testing may be used for the assessment of associations of tobacco dependence and recent illicit drug use based on epidemiological surveys.


Subject(s)
Substance-Related Disorders/epidemiology , Adolescent , Alcohol Drinking/epidemiology , Austria/epidemiology , Health Status , Humans , Illicit Drugs , Male , Marijuana Abuse/epidemiology , Prevalence , Severity of Illness Index , Surveys and Questionnaires , Tobacco Use Disorder/epidemiology
3.
Eur Psychiatry ; 20(5-6): 442-50, 2005 Aug.
Article in English | MEDLINE | ID: mdl-16095883

ABSTRACT

PURPOSE: In this cross-sectional study we compared alcohol-dependent smokers and non-alcohol-dependent smokers with respect to intensity of nicotine dependence, craving conditions, sleep disturbances, comorbidity with major depression, reasons for smoking, accompanying somatic diseases and patients' prolonged abstinence from smoking during the 3 years preceding the study. SUBJECTS AND METHODS: Fifty-one alcohol-dependent smokers and 327 non-alcohol-dependent smokers diagnosed as ICD-10 and DSM-IV-nicotine dependent, were investigated by means of the Fagerström Test for Nicotine Dependence, the Lübeck Craving-Recurrence Risk Questionnaire and the Lesch Alcohol Dependence Typology (both adapted to smoking). RESULTS: The intensity of nicotine dependence was more enhanced in alcohol-dependent smokers compared to non-alcohol-dependent smokers. Several variables of all factors of craving ("depressive mood", "stimulation", "relaxation", "socially triggered tension") were significantly increased in alcohol-dependent patients (P<0.05). Alcohol-dependent smokers showed depressive symptoms and sleep disturbances, whilst non-alcohol-dependent individuals mainly smoked for stress release and weight control. DISCUSSION: Our study demonstrates that the intensity of nicotine dependence, several conditions of craving for nicotine, sleep disturbances and symptoms of depression appear to be enhanced in alcohol-dependent smokers compared with non-alcohol-dependent smokers. Conclusions. - It is hoped that the factors of craving and reasons for smoking identified in this study will contribute to a better understanding of smoking temptation in alcohol-dependent smokers and non-alcohol-dependent smokers in future.


Subject(s)
Alcoholism/epidemiology , Alcoholism/psychology , Reinforcement, Psychology , Tobacco Use Disorder/epidemiology , Tobacco Use Disorder/psychology , Adult , Austria , Comorbidity , Cross-Sectional Studies , Depressive Disorder/epidemiology , Digestive System Diseases/epidemiology , Female , Humans , Inpatients/psychology , Male , Middle Aged , Outpatients/psychology , Severity of Illness Index , Skin Diseases/epidemiology , Sleep Wake Disorders/epidemiology , Smoking/psychology , Smoking Cessation/psychology , Surveys and Questionnaires
4.
Alcohol Clin Exp Res ; 28(9): 1396-8, 2004 Sep.
Article in English | MEDLINE | ID: mdl-15365311

ABSTRACT

Carbohydrate-deficient transferrin (CDT) has been well established as a marker for high alcohol consumption. As studies concerning the specificity of CDT in patients with liver disease have shown controversial outcomes, efforts to illuminate mechanisms leading to impaired CDT specificity in this patient group cannot yet be considered successful. Evidence of apoptosis as examined in 72 alcohol-dependent patients using serum contents of caspase-related M30 monoclonal antibody significantly correlated with aspartate aminotransferase, alanine aminotransferase, and gamma-glutamyl transpeptidase but did not influence CDT levels. These results suggest that impairment of CDT specificity is brought forth by derangement of hepatic metabolism rather than by acute hepatocellular damage.


Subject(s)
Alcoholism/blood , Apoptosis/physiology , Epithelial Cells/metabolism , Transferrin/analogs & derivatives , Transferrin/metabolism , Humans , Middle Aged , Statistics, Nonparametric
5.
Neuropsychobiology ; 50(1): 78-88, 2004.
Article in English | MEDLINE | ID: mdl-15179025

ABSTRACT

BACKGROUND: The misconception of tobacco smoking as a 'bad habit' has been replaced by a diagnosis of addiction. Although help to quit is offered by nicotine replacement, antidepressants and psychotherapeutic support, there is no cure yet. One cause of impediment might be psychiatric comorbidity. Therefore, we searched for smoker subgroups, needing different treatments. AIM OF THE STUDY: The study aimed at subtyping smokers in an attempt to better understand the phenomenon of resistant smokers and provide more information that could potentially become useful to treatment centres assuming the subtypes correlate directly with outcomes of different smoking cessation treatments, tailor-made according to subtypes. METHODS: 330 out of 430 recruited smokers were classified as nicotine dependent (ICD-10) and tobacco dependent (DSM-IV) and remained in the study. They were investigated with different diagnostic assessments: Fagerström Test (FT), Lübeck Craving Risk Relapse Questionnaire and Lesch Typology Questionnaire (the last two being modified for smoking). RESULTS: Dependence severity degree is reflected by the FT. FT scores >/=5 indicated higher conspicuousness. Four clusters for nicotine craving were found: (1) 'depressed', (2) 'stimulated', (3) 'relaxed mood state' and (4) 'socially triggered tensed mood'. In contrast to alcoholism, 'stimulation' was one of the major craving conditions in smokers. The decision tree, consisting of the FT and the Lesch Typology Questionnaire, distinguishes four subgroups of nicotine-dependent persons. CONCLUSION: The subgroups reflect different reinforcement and psychosocial disturbances. They match treatment and can be applied as outcome predictors in controlled treatment and relapse prevention studies.


Subject(s)
Reinforcement, Psychology , Smoking/psychology , Tobacco Use Disorder/physiopathology , Tobacco Use Disorder/psychology , Adult , Affect , Comorbidity , Cross-Sectional Studies , Depression , Female , Humans , Male , Middle Aged , Psychiatric Status Rating Scales , Social Behavior
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