Family History Of Alcohol Dependence Research Articles

Determinants of Treatment Outcome, Follow-Up, and Abstinence Rates Among Patients With Alcohol Use Disorder: A Prospective Study.

Background The treatment of alcohol use problems needs to have a multidimensional approach for early recovery and better outcome. Objective The study aimed to study the socio-demographic, clinical, and psychological factors associated with the three-month clinical outcomes among patients with alcohol use disorder treated in a tertiary care general hospital psychiatric unit in southern India. Methods This is a prospective three-month follow-up study. Patients fulfilling the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria for alcohol use disorder were selected for the study. The baseline severity of alcohol use was assessed by the Severity of Alcohol Dependence Questionnaire, alcohol craving by Alcohol Craving Questionnaire (ACQ), impulsivity by Barratt Impulsiveness Scale, anxiety and depression by Hospital Anxiety and Depression Scale and personality traits by Personality inventory for DSM-5. Craving was assessed at 2, 4, 8 and 12 weeks post-discharge. Results A total of 110 patients participated in the study. After 3 months of follow-up, 75.5% of the patients remained abstinent throughout the follow-up period. The sample was divided into two groups based on the abstinent status at 12 weeks. Both the abstinent and relapsed users were compared based on socio-demographic, marital, family, illness-related, alcohol-usage, and psychological characteristics, the baseline and follow-up craving indices. There were no statistically significant differences between the two groups based on socio-demographic characteristics. Compared to the relapsed group, the abstinent individuals displayed increased adherence to follow-up visits and attended more frequent individual therapy sessions, however, there were no significant differences between the two groups in the number of group therapy sessions attended.Also, the abstinent group demonstrated lower subjective craving at both the baselineand during follow-up. The relapsed users had reported a significantly greater proportion of history of suicide in the family. Further correlational analyses were done to find the direction of associations between psychological characteristics and alcohol-usage characteristics. High attentional impulsivityand motor impulsivitywere associated with early age of first use. High attentional impulsivity, motor impulsivityand impulsive planningwere associated with early age of dependence. Early age of dependence was associated with increased levels of antagonism and psychoticism. Younger onset of alcohol use was associated with increased levels of craving at baseline. The baseline alcohol use severity and the baseline craving towards alcohol were positively correlated with follow-up craving indices as per ACQ and craving index (CI) scales. Conclusion The patients who were abstinent displayed reduced subjective craving towards alcohol at baseline and were more adherent in attending individual and group therapy sessions. Among the relapsed users, most relapsed before four weeks and had a family history of alcohol dependence, family history of psychosis, and suicide, which is indicative of high genetic loading of substance abuse leading to early initiation and early onset of alcohol dependence. The effects of genetic loading could be possibly mediated by traits of high impulsivity, psychoticism, and antagonism.

Time perspective and family history of alcohol dependence moderate the effect of depression on alcohol dependence: A study in Chinese psychiatric clinics.

Depression and alcohol dependence (AD) are among the most prevalent psychiatric disorders that commonly co-occur. Therefore, gaining a better grasp of factors related to this comorbidity is particularly interesting for clinicians. Past research has highlighted the significant role that time perspective and family history of alcohol dependence (FH) play in the occurrence of depression and AD. However, much remains unexplored in the understanding of the association between them. This study explored how temporal profile and other sociodemographic characteristics of patients diagnosed with AD impact the severity of depression and AD in them. This study was multi-centered, including 381 patients. Cross-sectional information was collected from both inpatient and outpatient psychiatric clinics in China. Data were acquired using validated self-report scales, including Michigan Alcoholism Screening Test, Zung Self-Rating Depression Scale, and Zimbardo Time Perspective Inventory-Chinese version. Multiple linear regression analyzes were conducted to control social demographic variables and construct prediction models to inspect the influence factors of variables. Moderation models were constructed to inspect further interplay between variables using hierarchical regression and PROCESS Macro. Results showed that of all the patients in Chinese psychiatry clinics diagnosed with AD according to the International Classification of Diseases-10, 59.9% met the criteria of depression according to the questionnaire, and time perspective was correlated with the severity of depression. Furthermore, using regression analysis, we found that time perspective and depression could predict AD severity. The moderating role of a past negative time perspective and FH was confirmed between depression and AD. We found that, in our study, only in patients with FH and relatively moderate to high scores of past negative time perspective could the severity of depression predict the severity of AD. Therefore, during the treatment and care of patients with AD, their depression level, time perspective score, and FH should be considered.

Signal in the noise:Altered brain activation among adolescent alcohol users detected via the analysis of intra-individual variability1.

RationaleUnlike its average level, the variability in brain activation over time or trials can capture subtle and brief disruptions likely to occur among participants with low-to-moderate levels of substance use or misuse.ObjectiveThe present study used this intra-individual variability measurement approach to detect neural processing differences associated with light-to-moderate use of alcohol among 14–19-year-old adolescents.MethodA total of 128 participants reporting any level of alcohol use during the previous 6 months and 87 participants reporting no use during this period completed intake questionnaires and interviews as well as an assessment of P300 electroencephalographic responses to novel stimuli recorded during two separate tasks.ResultsIn addition to differing in recent alcohol use, the groups differed in nicotine and cannabis use, risk-taking behavior and conduct disorder symptoms, and P300 amplitude inter-trial variability (ITV) across both tasks. Across all participants, P300 ITV was positively correlated with a family history of depression but not with a family history of alcohol dependence. There were no group differences in P300 amplitude averaged across trials.ConclusionsRecent reports attributing brain volume or brain function differences to an effect of light-to-moderate alcohol use should be viewed with great caution. In the present analysis of brain function differences among substance-using adolescents, the group differences were small, complicated by many factors coinciding with or preceding alcohol use, and not reflected in a stable central tendency.

Binge and high-intensity drinking-Associations with intravenous alcohol self-administration and underlying risk factors.

Some styles of alcohol consumption are riskier than others. How the level and rate of alcohol exposure contribute to the increased risk of alcohol use disorder is unclear, but likely depends on the alcohol concentration time course. We hypothesized that the brain is sensitive to the alcohol concentration rate of change and that people at greater risk would self-administer faster. We developed a novel intravenous alcohol self-administration paradigm to allow participants direct and reproducible control over how quickly their breath alcohol concentration changes. We used drinking intensity and the density of biological family history of alcohol dependence as proxies for risk. Thirty-five alcohol drinking participants aged 21-28 years provided analytical data from a single, intravenous alcohol self-administration session using our computer-assisted alcohol infusion system rate control paradigm. A shorter time to reach 80 mg/dl was associated with increasing multiples of the binge drinking definition (p = 0.004), which was in turn related to higher density of family history of alcoholism (FHD, p = 0.04). Rate-dependent changes in subjective response (intoxication and stimulation) were also associated with FHD (each p = 0.001). Subsequently, given the limited sample size and FHD range, associations between multiples of the binge drinking definition and FHD were replicated and extended in analyses of the Collaborative Study on the Genetics of Alcoholism database. The rate control paradigm models binge and high-intensity drinking in the laboratory and provides a novel way to examine the relationship between the pharmacokinetics and pharmacodynamics of alcohol and potentially the risk for the development of alcohol use disorders.

Reward Processing in Alcohol-Dependent Patients and First-Degree Relatives: Functional Brain Activity During Anticipation of Monetary Gains and Losses

BackgroundAccording to the reward deficiency syndrome and allostatic hypotheses, hyposensitivity of mesocorticolimbic regions to non–alcohol-related stimuli predisposes to dependence or is long-lastingly enhanced by chronic substance use. To date, no study has directly compared mesocorticolimbic brain activity during non–drug reward anticipation between alcohol-dependent, at risk, and healthy subjects. MethodsSeventy-five abstinent alcohol-dependent human subjects (mean abstinence duration 957.66 days), 62 healthy first-degree relatives of alcohol-dependent individuals, and 76 healthy control subjects without family history of alcohol dependence performed a monetary incentive delay task. Functional magnetic resonance imaging data of the anticipation phase were analyzed, during which visual cues predicted that fast response to a target would result in monetary gain, avoidance of monetary loss, or a neutral outcome. ResultsDuring gain anticipation, there were no significant group differences. During loss anticipation, abstinent alcohol-dependent subjects showed lower activity in the left anterior insula compared with healthy control subjects without family history of alcohol dependence only (Montreal Neurological Institute [MNI] −25 19 –5; t206 = 4.17, familywise error corrected p = .009). However, this effect was no longer significant when age was included as a covariate. There were no group differences between abstinent alcohol-dependent subjects and healthy first-degree relatives or between healthy first-degree relatives and healthy control subjects during loss anticipation, respectively. ConclusionsNeither the neural reward deficiency syndrome nor the allostatic hypotheses are supported by the results. Future studies should investigate whether the incentive salience hypothesis allows for more accurate predictions regarding mesocorticolimbic brain activity of subjects with alcohol dependence and healthy individuals during reward and loss anticipation and further examine the neural substrates underlying a predisposition to dependence.

Prevalence and correlates of relapse in adult male patients with alcohol dependence: a cross sectional study conducted in a tertiary care hospital in Northern India

Background: Relapse to alcohol dependence after successful detoxification and rehabilitation is a public health concern worldwide. Although the burden of alcohol dependence is massive in the Indian subcontinent, very little is known about the causes of relapse among patients treated for alcohol abuse. Hence, this study was designed to evaluate the prevalence and factors associated with relapse in patients of alcohol dependence disorder.Methods: 50 male patients diagnosed with alcohol dependence (according to ICD-10 criteria) who attended both in-patient and out-patient outpatient department (OPD) of a tertiary care hospital were included in our study. Severity of Alcohol Dependence Questionnaire (SADQ) for severity of alcohol dependence, Presumptive Stressful Life Events Scales (PSLES) and relapse precipitant inventory were used for correlation of factors responsible for relapse amongst these alcohol abusers after informed consent and acquiring socio-demographic details.Results: Out of 50 patients enrolled in the study as per the International Classification of Diseases 10th revision Diagnostic Criteria for Research (ICD-10 DCR), a majority (92%) were Hindus, 60% belonging to the rural background. Family history of alcohol dependence was found to be present among 46% patients, and a majority had moderate to severe alcohol dependence. Craving for alcohol was found to be the most common cause of relapse amongst these, and 72% patients showed moderate to severe stress on the PSLES scale.Conclusions: Alcohol consumption is emerging as a major public health problem in India. Regular follow up with family, peer and social support are essential along with vocational rehabilitation to prevent relapse. Multi-centric scientific community-based research studies have to be conducted in various individual states to understand the problem better. There is a dire need for various policymakers, media, professionals and society to come together and create awareness about the consequences of chronic alcohol through sensitization programmes and health education campaigns.

Increase in serum brain-derived neurotrophic factor levels during early withdrawal in severe alcohol users.

Changes in brain-derived neurotrophic factor (BDNF) have been linked to the neuroadaptative consequences of chronic alcohol use and associated with disease severity and prognosis. Few studies have evaluated the influence of drug withdrawal and clinical and sociodemographic data on BDNF levels in severe alcohol users. Our goals were (1) to evaluate variation in BDNF levels during alcohol withdrawal and, (2) to assess the influence of putative confounding factors on BDNF levels. Our sample consists of 62 men with alcohol use disorder undergoing a detoxification process. Serum BDNF levels were measured using a commercial sandwich-ELISA kit, at two points: before and after the detoxification period. We found an increase in BDNF levels during alcohol withdrawal (25.4±9.6 at admission vs. 29.8±10.2 ng/ml at discharge; p < 0.001), even after controlling for potential confounders (positive family history, number of days between blood sample collections, and age) (Generalized Estimating Equation: coefficient = -4.37, 95% confidence interval [95%CI] -6.3; -2.4; p < 0.001). Moreover, individuals who had first-degree relative with alcohol dependence had smaller increases in BDNF levels than individuals with no family history (14.8 [95%CI -5.3; 35.6] vs. 35.3 [95%CI 15.4; 74.8]; p = 0.005). In summary, variation in BDNF levels seems to be influenced by withdrawal in severe alcohol users. A positive family history of alcohol dependence could also be a factor that influences variation in this biomarker.

Mapping data-driven individualized neurobehavioral phenotypes in heavy alcohol drinkers.

Recent studies have examined the factor structure and associated correlates of three neurofunctional domains, executive function, incentive salience, and negative emotionality in the development and maintenance of alcohol use disorders in clinical samples. The current study sought to replicate and extend prior work by testing this 3-factor model, utilizing both exact and similar phenotypic measures, as well as novel measures, in a non-treatment-seeking sample. Self-report measures of alcohol addiction, impulsivity, behavior, and exposure to early-life stress were collected as part of baseline assessments for alcohol imaging and pharmacotherapy studies in 335 individuals. Confirmatory factor analysis (CFA) was used to examine model structure and fit. A multiple indicators, multiple causes (MIMIC) model identified predictors of latent factors identified by CFA. Results supported an intercorrelated model with three factors: executive function, incentive salience, and emotionality. All factors were associated with current AUD, and incentive salience was uniquely associated with past 30-day drinking frequency. MIMIC results identified multiple significant predictors of these latent factors, including history of alcohol use disorder, positive family history of alcohol dependence, earlier age of first drink, and a history of childhood emotional abuse and physical neglect. Our results support an intercorrelated 3-factor model of neurofunctional domains in alcohol use models, consistent with published findings. Because childhood physical neglect was a significant predictor of all latent factors, these results also highlight the significant negative impact of childhood neglect on later addiction development.

The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences

Neurodevelopmental abnormalities in neural connectivity have been long implicated in the etiology of schizophrenia (SCZ); however, it remains unclear whether these neural connectivity patterns are associated with genetic risk for SCZ in unaffected individuals (i.e., an absence of clinical features of SCZ or a family history of SCZ). We examine whether polygenic risk scores (PRS) for SCZ are associated with functional neural connectivity in adolescents and young adults without SCZ, whether this association is moderated by sex and age, and if similar associations are observed for genetically related neuropsychiatric PRS. One-thousand four-hundred twenty-six offspring from 913 families, unaffected with SCZ, were drawn from the Collaborative Study of the Genetics of Alcoholism (COGA) prospective cohort (median age at first interview = 15.6 (12–26), 51.6% female, 98.1% European American, 41% with a family history of alcohol dependence). Participants were followed longitudinally with resting-state EEG connectivity (i.e., coherence) assessed every two years. Higher SCZ PRS were associated with elevated theta (3–7 Hz) and alpha (7–12 Hz) EEG coherence. Associations differed by sex and age; the most robust associations were observed between PRS and parietal-occipital, central-parietal, and frontal-parietal alpha coherence among males between ages 15–19 (B: 0.15–0.21, p < 10–4). Significant associations among EEG coherence and Bipolar and Depression PRS were observed, but differed from SCZ PRS in terms of sex, age, and topography. Findings reveal that polygenic risk for SCZ is robustly associated with increased functional neural connectivity among young adults without a SCZ diagnosis. Striking differences were observed between men and women throughout development, mapping onto key periods of risk for the onset of psychotic illness and underlining the critical importance of examining sex differences in associations with neuropsychiatric PRS across development.

Alcohol dependence running in a family.

Alcohol dependence running in a family.

Predictors of Passive and Active Suicidal Ideation and Suicide Attempt Among Older People: A Study in Tertiary Care Settings in Thailand.

PurposeThis study compared predictors of passive suicidal ideation (SI), active SI, and suicide attempt (SA) among elderly Thai patients in tertiary care settings.Patients and MethodsPsychiatric diagnoses and suicidality of 803 older people were assessed using the Mini-International Neuropsychiatric Interview and the Structured Clinical Interview for DSM-IV-TR. All participants completed the Montreal Cognitive Assessment, multidimensional scale of perceived social support (MSPSS), 15-item Thai geriatric depression scale (TGDS-15), 10-item perceived social scale and the Core Symptoms Index. The chi-square test, t-test and ANOVA were used for bivariate analysis of predictors of specific suicidality types. Multiple logistic regression was used to determine the predictors for each type of suicidality.ResultsThe patients’ mean age was 69.24 ± 6.90 years, and the majority were female (69.74%). Passive SI, active SI and SA were found among 20.42%, 3.74% and 2.37%, respectively, of the patients. Major depressive disorder (MDD) was a predictor of both passive and active SI (OR = 2.06 and 3.74, respectively). Other predictors of passive SI included hypomania (OR = 8.27) and positive score on the TGDS-15 (OR = 1.29). Predictors of active SI included agoraphobia (OR = 6.84) and hypomania (OR = 7.10). Predictors of SA included a family history of alcohol dependence (OR = 14.16), a history of depression (OR = 4.78) and agoraphobia (OR = 19.89). Surprisingly, hypertension and self-reported anxiety symptoms were protective factors for passive SI (OR = 0.51 and 0.85, respectively). Likewise, MSPSS was a protective factor for SA (OR = 0.90).ConclusionPredictors of each type of suicidality differed. MDD was the main predictor for SI; however, agoraphobia and poor perceived social support were more pronounced among individuals with SA. Further investigation, especially in longitudinal fashion, should be warranted.

Relationship Between Alcohol Dependence and Neuropeptide Y (NPY) Gene Promoter Polymorphisms in A Turkish Sample

Neuropeptide Y (NPY) is a protein widely expressed in the central nervous system and involved in diverse physiological processes, such as emotional regulation, nutritional behavior, and stress. In some populations, studies on alcohol dependence (AD) and the NPY gene have found that NPY variations increase alcohol consumption and thus may potentially be associated with AD. In this study, we investigated the relationship between NPY gene promoter polymorphisms and phenotypes related to alcohol use. A total of 417 male participants comprising 252 individuals with AD and 165 healthy individuals were included in this study and phenotypic data were collected. Polymerase chain reaction-restriction fragment length polymorphism (PCR/RFLP) and DNA sequencing METHODS were used for genotyping the rs16147 and rs17149106 polymorphisms in the promoter region of the NPY gene. The data of 384 participants were analysed to evaluate the possible relationship between genotypes and the diagnosis of AD, family history of AD, the severity of AD using the Michigan Alcoholism Screening Test (MAST), the age of onset of problematic alcohol use, the average amount of alcohol consumed per day for the last six months and the lifetime maximum alcohol consumption in one day. A significant difference was found between the AD and control groups concerning rs16147 polymorphism genotype distribution (p=0.025). No association with polymorphisms and alcohol-related phenotypes were demonstrated in the AD group. To our knowledge, this study shows for the first time in the literature that alcohol dependence is associated with NPY rs16147 polymorphism in the Turkish population.

Quality of life and disability in males with alcohol dependence syndrome.

Aim:The aim is to study the quality of life (QoL) and disability in persons with alcohol dependence syndrome (ADS).Materials and Methods:This cross-sectional, analytical, case–control study in a tertiary hospital in a suburb of Maharashtra included 100 cases of ADS and equal number of age- and sex-matched healthy controls fulfilling the various inclusion and exclusion criteria.Results:The study revealed that individuals commonly initiate drinking alcohol between 20 and 30 years and first present to the hospital for seeking medical attention in the age group of 30–40 years after 10–12 years of drinking when they are moderately or severely dependent on alcohol. Alcohol dependence is associated with lower educational levels and lower levels of employment. Many have problems in their marital and intimate relations, making it difficult for them to stay in long-term relationships. As a consequence of their frequent aggressive and violent behaviors, they are more commonly involved in legal matters. Having a positive family history of alcohol dependence and familial psychiatric disorders makes them have a higher chance of developing alcohol dependence. As the number of years of drinking increases, so does the dependency level.Conclusion:Alcohol dependence is associated with lower QoL and higher levels of disability levels. The severity of alcohol dependence is inversely proportional to the QoL experienced by them and directly proportional to their disabilities.

Is family history of alcohol dependence a risk factor for disturbed sleep in alcohol dependent subjects?

BackgroundDisturbed sleep and a family history of alcohol dependence (AD) are risk factors for developing AD, yet the underlying relationship between them is unclear among individuals with AD. Understanding these inherited associations will help us not only identify risk for development of these comorbid disorders, but also individualize treatment at this interface. We evaluated whether a first-degree family history of AD (FH+) was a risk factor for sleep continuity disturbance in patients with AD. We also evaluated whether alcohol use or mood disturbance moderated the relationship between FH and sleep. MethodsWe analyzed cross-sectional baseline data from an alcohol clinical trial in a sample of individuals with AD (N = 280). Their family history of AD among nuclear family members, sleep complaints, alcohol use (over the last 90 days), and mood disturbance were assessed using the Family History Interview for Substance and Mood Disorders, Medical Outcomes Study Sleep Scale, Time Line Follow-Back Interview, and Profile of Mood States–Short Form, respectively. ResultsA FH + status (65% of subjects) was significantly associated with lower model estimated mean sleep adequacy (β = - 7.05, p = 0.02) and sleep duration (β = - 0.38, p = 0.04) scale scores. FH was not associated with sleep disturbance scale. No significant moderating effect involving alcohol use or mood disturbance was seen. ConclusionFamily history of AD is a unique risk factor for sleep complaints in AD. Non-restorative sleep and sleep duration may be noteworthy phenotypes to help probe for underlying genotypic polymorphisms in these comorbid disorders.

COMT and BDNF Gene Variants Help to Predict Alcohol Consumption in Alcohol-dependent Patients.

The neurobiology of alcohol dependence (AD) involves alterations in neurotransmitters and the stress response. We hypothesized that an interaction between functional variants of dopaminergic and neurotrophic genes may influence drinking in AD. The relationship between alcohol consumption and single-nucleotide polymorphisms, Val66Met in the brain-derived neurotrophic factor (BDNF), and Val158Met in the catechol-O-methyltransferase (COMT), was analyzed among 281 alcohol-dependent individuals. Individuals carrying both the COMT Met158Met genotype and the BDNF Val66Val genotype drank more than those with other variants of these genes (P = 0.039). Those who had a family history of AD also drank more than those without a family history (P = 0.048). Patients with both Met/Met genotype in the COMT Val158Met polymorphism and Val/Val genotype in the BDNF Val66Met polymorphism suffered from more health problems than those carrying other variants (P = 0.030) and had lower motivation to change drinking patterns (P = 0.031). Patients carrying both the BDNF Val66Val and COMT Met158Met variants had higher alcohol consumption. These effects may be influenced by the effects of BDNF and COMT on dopamine responses to alcohol. Motivation-enhancing strategies might benefit the group of patients identified by genotyping in this study, and also treatment aimed at reducing alcohol consumption.

Differentiating the Effects of Familial Risk for Alcohol Dependence and Prenatal Exposure to Alcohol on Offspring Brain Morphology.

Offspring with a family history of alcohol dependence (AD) have been shown to have altered structural and functional integrity of corticolimbic brain structures. Similarly, prenatal exposure to alcohol is associated with a variety of structural and functional brain changes. The goal of this study was to differentiate the brain gray matter volumetric differences associated with familial risk and prenatal exposure to alcohol among offspring while controlling for lifetime personal exposures to alcohol and drugs. A total of 52 high-risk (HR) offspring from maternal multiplex families with a high proportion of AD were studied along with 55 low-risk (LR) offspring. Voxel-based morphometric analysis was performed using statistical parametric mapping (SPM8) software using 3T structural images from these offspring to identify gray matter volume differences associated with familial risk and prenatal exposure. Significant familial risk group differences were seen with HR males showing reduced volume of the left inferior temporal, left fusiform, and left and right insula regions relative to LR males, controlling for prenatal exposure to alcohol drugs and cigarettes. HR females showed a reduction in the right fusiform but also showed a reduction in volume in portions of the cerebellum (left crus I and left lobe 8). Prenatal alcohol exposure effects, assessed within the familial HR group, was associated with reduced right middle cingulum and left middle temporal volume. Even low exposure resulting from mothers drinking in amounts less than the median of those who drank (53 drinks or less over the course of the pregnancy) showed a reduction in volume in the right anterior cingulum and in the left cerebellum (lobes 4 and 5). Familial risk for AD and prenatal exposure to alcohol and other drugs show independent effects on brain morphology.

Daily relations among affect, urge, targeted naltrexone, and alcohol use in young adults.

Heavy drinking among young adults is a serious public health problem. Naltrexone, an opioid antagonist, has been shown to reduce drinking in young adults compared to placebo and can be taken on a targeted (i.e., as needed) basis. Understanding risk factors for drinking and naltrexone effects within-person in young adults may help to optimize the use of targeted naltrexone. The current study was a secondary analysis of daily diary data from 127 (n = 40 female) young adults (age 18-25) enrolled in a double-blind clinical trial of daily (25 mg) plus targeted (25 mg) naltrexone versus placebo. Hierarchical linear models were used to examine the effects of daily affect, urge, and taking targeted medication on same-day risk of drinking to intoxication (defined as estimated blood-alcohol-concentration, BAC ≥ .08 g%). Results indicated urge significantly mediated within-person positive affect-drinking relations on a daily level. Specifically, positive affect was associated with greater urge to drink, which in turn was associated with greater odds of BAC ≥ .08 g%. Furthermore, days of greater positive affect and urge were associated with taking a targeted dose of medication, which reduced the likelihood of intoxication by nearly 23% in the naltrexone group compared to placebo. Gender and family history of alcohol dependence were examined as moderators of these daily level effects. These results provide further evidence of naltrexone's ability to reduce alcohol consumption in young adults and identify potential within-person risk processes related to heavy drinking that could inform alcohol-related interventions for this population. (PsycINFO Database Record

Facteurs prédictifs de la réponse antidépressive à la kétamine dans les épisodes dépressifs majeurs résistants : revue de la littérature

ObjectiveThe aim of this review was to determine the clinical and biological predictors of the ketamine response. MethodsA systematic research on PubMed and PsycINFO database was performed without limits on year of publication. ResultsThe main predictive factors of ketamine response, which were found in different studies, were (i) a family history of alcohol dependence, (ii) unipolar depressive disorder, and (iii) neurocognitive impairments, especially a slower processing speed. Many other predictive factors were identified, but not replicated, such as personal history of alcohol dependence, no antecedent of suicide attempt, anxiety symptoms. Some biological factors were also found such as markers of neural plasticity (slow wave activity, brain-derived neurotrophic factor Val66Met polymorphism, expression of Shank 3 protein), other neurologic factors (anterior cingulate activity, concentration of glutamine/glutamate), inflammatory factors (IL-6 concentration) or metabolic factors (concentration of B12 vitamin, D- and L-serine, alterations in the mitochondrial β-oxidation of fatty acids). This review had several limits: (i) patients had exclusively resistant major depressive episodes which represent a sub-type of depression and not all depression, (ii) response criteria were more frequently assessed than remission criteria, it was therefore difficult to conclude that these predictors were similar, and finally (iii) many studies used a very small number of patients. ConclusionsIn conclusion, this review found that some predictors of ketamine response, like basal activity of anterior cingulate or vitamin B12 concentration, were identical to other therapeutics used in major depressive episode. These factors could be more specific to the major depressive episode and not to the ketamine response. Others, like family history of alcohol dependence, body mass index, or D- and L-serine were different from the other therapeutics. Neurocognitive impairments like slower speed processing or alterations in attention tests were also predictive to a good response. These predictive factors could be more specific to ketamine. With these different predictor factors (clinical and biological), it could be interesting to develop clinical strategies to personalize ketamine's administration.

Psychiatric Comorbidity in Alcohol Dependent Outpatients in Tertiary Care Centre

Alcohol dependence is rising in India, perhaps due to newer and greater stresses related to rapid changes in life-styles. This cross-sectional study was designed to find prevalence of psychiatric co-morbidities in outpatients with alcohol dependence syndrome (ADS) and to analyze relationship between presence of psychiatric morbidity with socio demographic and illness related factors. Data was collected from 100 consecutive outpatients with ADS using structured socio-demographic Performa and semi-structured prevalidated Alcohol intake datasheet. ADS and psychiatric co-morbidities were diagnosed by International Classification of Diseases Diagnostic criteria for research- Tenth Revision. (ICD-10 DCR) Prevalence of psychiatric co-morbidity was 56%. The most common psychiatric disorder was depressive disorder (39%). 42.9% of co-morbid group were unemployed. 80.4% of co-morbid group had family history of alcohol dependence. 41% in co-morbidity group preferred drinking alone and cited coping with stress as main reason for first drink. Major maintaining factor for alcohol dependence in co-morbidity group was to relieve negative mood (46.4%) while it was to relieve craving (56.8%) in non co-morbidity group. All alcohol dependent patients must be evaluated for co-morbid psychiatric problems. Early identification of co-morbid psychiatric disorders and incorporation of relevant interventions may reduce the morbidity, mortality and relapse in this population.

Risk Factors for Addiction and Their Association with Model-Based Behavioral Control.

Addiction shows familial aggregation and previous endophenotype research suggests that healthy relatives of addicted individuals share altered behavioral and cognitive characteristics with individuals suffering from addiction. In this study we asked whether impairments in behavioral control proposed for addiction, namely a shift from goal-directed, model-based toward habitual, model-free control, extends toward an unaffected sample (n = 20) of adult children of alcohol-dependent fathers as compared to a sample without any personal or family history of alcohol addiction (n = 17). Using a sequential decision-making task designed to investigate model-free and model-based control combined with a computational modeling analysis, we did not find any evidence for altered behavioral control in individuals with a positive family history of alcohol addiction. Independent of family history of alcohol dependence, we however observed that the interaction of two different risk factors of addiction, namely impulsivity and cognitive capacities, predicts the balance of model-free and model-based behavioral control. Post-hoc tests showed a positive association of model-based behavior with cognitive capacity in the lower, but not in the higher impulsive group of the original sample. In an independent sample of particularly high- vs. low-impulsive individuals, we confirmed the interaction effect of cognitive capacities and high vs. low impulsivity on model-based control. In the confirmation sample, a positive association of omega with cognitive capacity was observed in highly impulsive individuals, but not in low impulsive individuals. Due to the moderate sample size of the study, further investigation of the association of risk factors for addiction with model-based behavior in larger sample sizes is warranted.