Familial association of abstinent remission from alcohol use disorder in first-degree relatives of alcohol-dependent treatment-seeking probands

Abstract. Background: The number of older adults with alcohol use disorder (AUD) is expected to rise. Adapted treatments for this group are lacking and information on AUD features in treatment seeking older adults is scarce. The international multicenter randomized-controlled clinical trial “ELDERLY-Study” with few exclusion criteria was conducted to investigate two outpatient AUD-treatments for adults aged 60+ with DSM-5 AUD. Aims: To add to 1) basic methodological information on the ELDERLY-Study by providing information on AUD features in ELDERLY-participants taking into account country and gender, and 2) knowledge on AUD features in older adults seeking outpatient treatment. Methods: baseline data from the German and Danish ELDERLY-sites (n=544) were used. AUD diagnoses were obtained with the Mini International Neuropsychiatric Interview, alcohol use information with Form 90. Results: Lost control, desired control, mental/physical problem, and craving were the most prevalent (> 70 %) AUD-symptoms. 54.9 % reported severe DSM-5 AUD (moderate: 28.2 %, mild: 16.9 %). Mean daily alcohol use was 6.3 drinks at 12 grams ethanol each. 93.9 % reported binging. More intense alcohol use was associated with greater AUD-severity and male gender. Country effects showed for alcohol use and AUD-severity. Conclusion: European ELDERLY-participants presented typical dependence symptoms, a wide range of severity, and intense alcohol use. This may underline the clinical significance of AUD in treatment-seeking seniors.

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Using Machine Learning to Classify Individuals with Alcohol Use Disorder Based on Treatment Seeking Status

SSRN Electronic Journal ◽

10.2139/ssrn.3362447 ◽

2019 ◽

Author(s):

Mary R. Lee ◽

Vignesh Sankar ◽

Aaron Hammer ◽

William G. Kennedy ◽

Jennifer J. Barb ◽

...

Keyword(s):

Machine Learning ◽

Alcohol Use ◽

Alcohol Use Disorder ◽

Treatment Seeking

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The Role of Neural Reward Expectancy and Valuation in Readiness to Change Among Treatment Seeking Veterans With Alcohol Use Disorder (AUD)

Biological Psychiatry ◽

10.1016/j.biopsych.2021.02.853 ◽

2021 ◽

Vol 89 (9) ◽

pp. S342

Author(s):

Sarah L. Hagerty ◽

Timothy C. Durazzo ◽

Leanne M. Williams ◽

Claudia B. Padula

Keyword(s):

Alcohol Use ◽

Alcohol Use Disorder ◽

Readiness To Change ◽

Treatment Seeking ◽

Reward Expectancy

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Occurrence of Alcohol Dependence, Pattern of Alcohol Use, and Psychiatric Comorbidity in a Tertiary Care Centre in Upper Assam, India

Journal of Evidence Based Medicine and Healthcare ◽

10.18410/jebmh/2021/316 ◽

2021 ◽

Vol 8 (21) ◽

pp. 1674-1678

Author(s):

Kamala Deka ◽

Manju Partha Baruah ◽

Dipjyoti Bora

Keyword(s):

Alcohol Use ◽

Alcohol Use Disorder ◽

Psychiatric Comorbidity ◽

Tertiary Care ◽

Occupancy Rate ◽

Care Centre ◽

Bed Occupancy ◽

Tertiary Care Centre ◽

Co Morbidity ◽

Alcohol Dependent

BACKGROUND There has been an increased rate of diagnosis of alcohol dependent syndrome (ADS) observed in our psychiatry clinic constituting a major portion of them into inpatients care. Evaluation of psychiatric complaints in patients with alcohol dependant syndrome is challenging at times. Depression has been found to be a common psychological association seen in them. Suicidality and other selfharming behaviour as a co morbidity are also not uncommon. There is dearth of information available on occurrence of alcohol dependent syndrome in psychiatry attendees and pattern of alcohol use especially from this part of north-eastern region of Assam. We wanted to assess the occurrence and pattern of alcohol use disorder amongst patients attending psychiatry unit of a tertiary care centre in upper Assam, estimate its bed occupancy rate, and determine psychiatric comorbidity among them. METHODS A hospital based cross sectional study was conducted among 104 consecutive subjects attending Psychiatry department of Jorhat Medical College, Assam. After thorough examination and informed written consent subjects were administered with alcohol use disorder identification test (AUDIT) and MINI plus. Semi structured socio demographic Proforma was used to collect information on demographic data and different variables. As it was a descriptive study, data collected were organized in frequency tables and analysed using percentage. RESULTS In present study, prevalence of alcohol dependent syndrome in psychiatry set up was 12.68 % and bed occupancy rate of ADS was 13 %. Majority were between the age 28 and 47 years, males, Hindus, married, belonged to nuclear family and hailed from upper lower social class followed by lower middle class. Approximately 18 % of cases had psychiatric co morbidity and majority of them had depression and suicidality. CONCLUSIONS A major number of alcohol dependant patients attended psychiatry OPD and occupied almost half of the beds as inpatients of a tertiary care hospital. Mood disorder was the commonest comorbid condition in these patients. Though the results cannot be generalized, it may definitely reflect the magnitude of alcohol use in this region. Hence forth a psychiatry unit like ours warrant a full-fledged department for treatment of ADS and alcohol related problems and some policy to work for its prevention. KEYWORDS ADS, Occurrence, Bed Occupancy, Psychiatric Co-Morbidity

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To drink or to drink less? Distinguishing between effects of implementation intentions on decisions to drink and how much to drink in treatment-seeking individuals with alcohol use disorder

Addictive Behaviors ◽

10.1016/j.addbeh.2017.11.010 ◽

2018 ◽

Vol 83 ◽

pp. 64-71 ◽

Cited By ~ 5

Author(s):

Lara N. Moody ◽

Allison N. Tegge ◽

Lindsey M. Poe ◽

Mikhail N. Koffarnus ◽

Warren K. Bickel

Keyword(s):

Alcohol Use ◽

Alcohol Use Disorder ◽

Implementation Intentions ◽

Treatment Seeking

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Inclusion of Cannabis Users in Alcohol Research Samples: Screening In, Screening Out, and Implications

Alcohol and Alcoholism ◽

10.1093/alcalc/agaa023 ◽

2020 ◽

Vol 55 (4) ◽

pp. 416-423

Author(s):

Alexandra Venegas ◽

Lindsay R Meredith ◽

Ziva D Cooper ◽

Brandon Towns ◽

Lara A Ray

Keyword(s):

Alcohol Use ◽

Binge Drinking ◽

Tobacco Use ◽

Alcohol Use Disorder ◽

Cannabis Use ◽

Clinical Severity ◽

Treatment Seeking ◽

Higher Alcohol ◽

The Past ◽

Heavy Drinkers

Abstract Background Alcohol and cannabis are frequently co-used, as 20–50% of those who drink alcohol report co-using cannabis. This study is based on the argument that alcohol researchers should enroll cannabis users in human laboratory studies of alcohol use disorder (AUD) to strengthen generalizability. This study examines how heavy drinking cannabis users differ from non-cannabis using heavy drinkers. Methods In a community sample of non-treatment-seeking heavy drinkers (n = 551, 35% female), cannabis users were identified through: (a) self-reported cannabis use in the past 6 months and (b) positive urine toxicology test for tetrahydrocannabinol (THC). Cannabis users, identified as described previously, were compared with non-cannabis users on demographic and clinical characteristics. Results Those who endorsed cannabis use in the past 6 months reported more binge drinking days. Participants who tested positive for THC had higher Alcohol Use Disorder Identification Test scores and more binge drinking days. Younger age and being a tobacco smoker were associated with an increased likelihood of cannabis use in the past 6 months, whereas male gender and being a tobacco use were associated with a greater likelihood of testing positive for THC. Individuals with cannabis use disorder (CUD) endorsed more depression and anxiety and had higher AUD symptom counts than cannabis users without CUD. Conclusions The inclusion of cannabis users in AUD samples allows for increased clinical severity. Excluding cannabis users from AUD studies may limit representativeness and expend unnecessary study resources. Lastly, tobacco use may explain a large portion of the effects of cannabis use on sample characteristics. Short Summary Alcohol and cannabis are frequently co-used substances. In a sample of non-treatment-seeking heavy drinkers (n = 551, 35% female), cannabis users reported higher alcohol use and higher likelihood of tobacco use than non-cannabis users. Including cannabis users in alcohol research studies will improve representativeness and likely increase clinical severity.

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