A 5-year prospective evaluation of DSM-IV alcohol dependence with and without a physiological component

Assessment of a modified MINDS-based protocol for management of alcohol withdrawal syndrome on an inpatient medical service

OBJECTIVE

To determine if a novel symptom-based alcohol withdrawal syndrome (AWS) protocol in a US Veterans cohort leads to significant clinical improvements in patient outcomes and safety.

BACKGROUND

Prior studies of AWS management, oftentimes using the revised version of the Clinical Institute Withdrawal Assessment for Alcohol (CIWA-Ar) index, have demonstrated the effectiveness of symptom-triggered therapy for AWS. The Minnesota Detoxification Scale (MINDS) is an alternative to the CIWA-Ar index but remains unevaluated outside of the intensive care unit (ICU) setting. This study assesses outcomes in AWS management prior to and after the implementation of a novel MINDS-based AWS protocol (SDAWP) utilizing a revised MINDS index (MINDS-rev) in an inpatient medical ward setting.

METHODS

Retrospective cohort study including encounters prior to (n = 342) and after (n = 338) the implementation of the protocol. Pre- and post-protocol encounters were selected by combinations of diagnostic codes and charting elements. Outcome measures of AWS management were obtained in both groups. The primary endpoint was median total benzodiazepine exposure. Secondary outcomes included median length of hospitalization, median duration of benzodiazepine administration, and the incidence of complications.

RESULTS

The median total benzodiazepine exposure in the post-SDAWP group was significantly lower than the pre-SDAWP group (21.2 vs. 12.0 mg, p < 0.0001) and for a significantly shorter median duration of time (4.0 vs. 3.0 days, p < 0.0001). There was no significant difference in the median length of stay (4.0 vs. 4.0 days, p = 0.50). The incidence of delirium tremens (21 vs. 7, p = 0.01) and need for transfer to a higher level of care (33 vs. 12, p = 0.002) was significantly lower in the post-SDAWP group.

CONCLUSION

The SDAWP has provided significant improvements in AWS management in our institution and may potentially serve as a template for wider use in other inpatient settings.

The oxytocin receptor rs2254298 polymorphism and alcohol withdrawal symptoms: a gene-environment interaction in mood disorders

Objective

Alcohol use disorder (AUD) is a common mental disorder characterized by repeated withdrawal episodes. Negative emotions during withdrawal are the primary factors affecting successful abstinence. Oxytocin is a critical modulator of emotions. OXTR, the oxytocin receptor, may also be a promising candidate for treating alcohol withdrawal symptoms. Previous studies indicated that people with different genotypes of OXTR rs2254298 were reported to suffer from more significant depressive or heightened anxiety symptoms when experiencing early adversity. The present study aims to explore the modulatory role of the polymorphism OXTR rs2254298 on mood disorders during alcohol withdrawal and to help researchers better understand and develop effective relapse prevention and interventions for alcohol use disorders.

Methods

We recruited 265 adult Chinese Han men with AUD. Anxiety and depressive symptoms were measured using the Self-Rating Anxiety Scale and Self-Rating Depression Scale. Alcohol dependence levels were measured using Michigan Alcoholism Screening Test. Genomic DNA extraction and genotyping from participants' peripheral blood samples.

Result

First, a multiple linear regression was used to set the alcohol dependence level, OXTR.rs2254298, interaction terms as the primary predictor variable, and depression or anxiety as an outcome; age and educational years were covariates. There was a significant interaction between OXTR rs2254298 and alcohol dependence level on anxiety (B = 0.23, 95% confidence interval [CI]: 0.01-0.45) but not on depression (B = -0.06, 95% CI: -0.30 - 0.18). The significance region test showed that alcohol-dependent men who are GG homozygous were more likely to experience anxiety symptoms than subjects with the A allele (A allele: β = 0.27, p < 0.001; GG homozygote: β = 0.50, p < 0.001). Finally, re-parameterized regression analysis demonstrated that this gene-environment interaction of OXTR rs2254298 and alcohol dependence on anxiety fits the weak differential susceptibility model (R² = 0.17, F (5,259) = 13.46, p < 0.001).

Conclusion

This study reveals a gene-environment interactive effect between OXTR rs2254298 and alcohol withdrawal on anxiety but not depression. From the perspective of gene-environment interactions, this interaction fits the differential susceptibility model; OXTR rs2254298 GG homozygote carriers are susceptible to the environment and are likely to experience anxiety symptoms of alcohol withdrawal.

Alcohol withdrawal symptoms predict corticostriatal dysfunction that is reversed by prazosin treatment in alcohol use disorder

Chronic alcohol use increases risk of alcohol withdrawal symptoms (AW) and disrupts stress biology and resilient coping, thereby promoting excessive alcohol intake. Chronic alcohol intake and multiple alcohol detoxifications are known to impair brain medial prefrontal cortex (mPFC) and striatal functioning, regions involved in regulating stress, craving and alcohol intake. In two related studies, we examined whether AW predicts this functional brain pathology and whether Prazosin versus Placebo treatment may reverse these effects. In Study 1, patients with Alcohol Use Disorder (AUD) (N = 45) with varying AW levels at treatment entry were assessed to examine AW effects on corticostriatal responses to stress, alcohol cue and neutral visual images with functional magnetic resonance imaging (fMRI). In Study 2, 23 AUD patients entering a 12-week randomised controlled trial (RCT) of Prazosin, an alpha1 adrenergic antagonist that decreased withdrawal-related alcohol intake in laboratory animals, participated in two fMRI sessions at pretreatment and also at week 9-10 of chronic treatment (Placebo: N = 13; Prazosin: N = 10) to assess Prazosin treatment effects on alcohol-related cortico-striatal dysfunction. Study 1 results indicated that higher AW predicted greater disruption in brain mPFC and striatal response to stress and alcohol cues (p < 0.001, family-wise error [FWE] correction) and also subsequently greater heavy drinking days (HDD) in early treatment (p < 0.01). In Study 2, Prazosin versus Placebo treatment reversed mPFC-striatal dysfunction (p < 0.001, FWE), which in turn predicted fewer drinking days (p < 0.01) during the 12-week treatment period. These results indicate that AW is a significant predictor of alcohol-related prefrontal-striatal dysfunction, and Prazosin treatment reversed these effects that in turn contributed to improved alcohol treatment outcomes.

Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey

BACKGROUND

Despite its potential to produce serious adverse outcomes, DSM-5 alcohol withdrawal syndrome (AWS) has not been widely studied in the general population.

METHODS

We used cross-sectional data from 36,309 U.S. adults from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III to examine the past-year prevalence of AWS and its correlates. We focused on an important clinical population-past-year drinkers with unhealthy alcohol use-i.e., those with a positive score on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire. We also examined the association of AWS with sociodemographic measures, psychiatric disorders, alcohol-related measures, and healthcare utilization.

RESULTS

Approximately one-third (n = 12,634) of respondents reported unhealthy alcohol use (AUDIT-C+). Of these, 14.3% met criteria for a DSM-5 AWS diagnosis. The mean (SE) number of withdrawal symptoms among individuals with AWS was 2.83 (1.88), with the most common being nausea/vomiting and insomnia (19.8% and 11.6%, respectively). Among AUDIT-C+ respondents, the odds of AWS were significantly higher among males (adjusted odds ratio [aOR] = 1.17 [95% CI, 1.02-1.33]), unmarried participants (aOR = 1.55 [95% CI, 1.25-1.92]), and those at the lowest (vs. highest) income levels (aOR = 1.62 [95% CI, 1.37-1.92]). Among AUDIT-C+ respondents, AWS was also associated with psychiatric disorders (with aORs that ranged from 2.08 [95% CI, 1.79-2.41]) for major depressive disorder to 3.14 (95% CI, 1.79-2.41) for borderline personality disorder. AUDIT-C+ respondents with AWS also had higher odds of past-year alcohol use disorder (aOR = 11.2 [95% CI, 9.66-13.07]), other alcohol-related features (e.g., binge drinking), and healthcare utilization.

CONCLUSIONS

Among individuals with unhealthy alcohol use, AWS is prevalent, highly comorbid, and disabling. Given the risk of AWS among unhealthy drinkers, a comparatively large segment of the general population, clinicians should seek to identify individuals with AWS and intervene with them to prevent serious adverse outcomes.

Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer

By some accounts, as many as 93% of individuals diagnosed with antisocial personality disorder (ASPD) or psychopathy also meet criteria for some form of substance use disorder (SUD). This high level of comorbidity, combined with an overlapping biopsychosocial profile, and potentially interacting features, has made it difficult to delineate the shared/unique characteristics of each disorder. Moreover, while rarely acknowledged, both SUD and antisociality exist as highly heterogeneous disorders in need of more targeted parcellation. While emerging data-driven nosology for psychiatric disorders (e.g., Research Domain Criteria (RDoC), Hierarchical Taxonomy of Psychopathology (HiTOP)) offers the opportunity for a more systematic delineation of the externalizing spectrum, the interrogation of large, complex neuroimaging-based datasets may require data-driven approaches that are not yet widely employed in psychiatric neuroscience. With this in mind, the proposed article sets out to provide an introduction into machine learning methods for neuroimaging that can help parse comorbid, heterogeneous externalizing samples. The modest machine learning work conducted to date within the externalizing domain demonstrates the potential utility of the approach but remains highly nascent. Within the paper, we make suggestions for how future work can make use of machine learning methods, in combination with emerging psychiatric nosology systems, to further diagnostic and etiological understandings of the externalizing spectrum. Finally, we briefly consider some challenges that will need to be overcome to encourage further progress in the field.

Iatrogenic Delirium in Patients on Symptom-Triggered Alcohol Withdrawal Protocol: A Case Series

In this report, we present a case series involving four patients placed on the Clinical Institute Withdrawal Assessment for Alcohol, Revised (CIWA-Ar) protocol for alcohol or sedative-hypnotic withdrawal syndromes, who developed delirium on sustained or increasing symptom-triggered benzodiazepine dosages. In each of the four cases, delirium was not present on admission and resolved in the hospital itself with fixed benzodiazepine tapers. Cases were selected from an electronic medical record database of patients admitted to a United States-based university hospital and placed on CIWA-Ar between 2017 and 2018. This case series illustrates the major limitations of CIWA-Ar including its subjective nature, its susceptibility to inappropriate patient selection, and its requirement for providers to consider alternative etiologies to alcohol and benzodiazepine withdrawal syndromes. These cases demonstrate the necessity of considering other assessment and treatment options such as objective alcohol withdrawal scales, fixed benzodiazepine tapers, and even antiepileptics. An effective systems-based approach to overcoming these challenges may include setting time limits on CIWA-Ar orders within the electronic health record (EHR) system.

Efficacy of Gabapentin for the Treatment of Alcohol Use Disorder in Patients With Alcohol Withdrawal Symptoms: A Randomized Clinical Trial

IMPORTANCE

Although an estimated 30 million people meet criteria for alcohol use disorder (AUD), few receive appropriate pharmacotherapy. A more personalized, symptom-specific, approach might improve efficacy and acceptance.

OBJECTIVE

To examine whether gabapentin would be useful in the treatment of AUD, especially in those with the most alcohol withdrawal symptoms.

DESIGN, SETTING, AND PARTICIPANTS

This double-blind randomized clinical trial conducted between November 2014 and June 2018 evaluated gabapentin vs placebo in community-recruited participants screened and treated in an academic outpatient setting over a 16-week treatment period. A total of 145 treatment-seeking individuals who met Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria for AUD and were not receiving other AUD intervention were screened, and 96 who also met recent alcohol withdrawal criteria were randomized to treatment after 3 abstinent days. Daily drinking was recorded, and percentage of disialo carbohydrate-deficient transferrin in the blood, a heavy drinking marker, was collected at baseline and monthly during treatment.

INTERVENTIONS

Gabapentin up to 1200 mg/d, orally, vs placebo along with 9 medical management visits (20 minutes each).

MAIN OUTCOMES AND MEASURES

The percentage of individuals with no heavy drinking days and those with total abstinence were compared between treatment groups and further evaluated based on prestudy alcohol withdrawal symptoms.

RESULTS

Of 96 randomized individuals, 90 were evaluable (44 in the gabapentin arm and 46 in the placebo arm), with a mean (SD) age of 49.6 (10.1) years; 69 were men (77%) and 85 were white (94%). The evaluable participants had 83% baseline heavy drinking days (4 or more drinks/day for women, 5 or more for men) and met 4.5 alcohol withdrawal criteria from the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition). More gabapentin-treated individuals had no heavy drinking days (12 of 44 participants [27%]) compared with placebo (4 of 46 participants [9%]), a difference of 18.6% (95% CI, 3.1-34.1; P = .02; number needed to treat [NNT], 5.4), and more total abstinence (8 of 44 [18%]) compared with placebo (2 of 46 [4%]), a difference of 13.8% (95% CI, 1.0-26.7; P = .04; NNT, 6.2). The prestudy high-alcohol withdrawal group had positive gabapentin effects on no heavy drinking days (P < .02; NNT, 3.1) and total abstinence (P = .003; NNT, 2.7) compared with placebo, while within the low-alcohol withdrawal group, there were no significant differences. These findings were similar for other drinking variables, where gabapentin was more efficacious than placebo in the high-alcohol withdrawal group only. Gabapentin caused more dizziness, but this did not affect efficacy.

CONCLUSIONS AND RELEVANCE

These data, combined with others, suggest gabapentin might be most efficacious in people with AUD and a history of alcohol withdrawal symptoms. Future studies should evaluate sleep changes and mood during early recovery as mediators of gabapentin efficacy.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02349477.

History of withdrawal modulates drug- and food-cue reactivity in cocaine dependent participants

While the centrality of withdrawal in the diagnosis of addiction has been decreasing with each successive edition of the Diagnostic and Statistical Manual of Mental Disorders, psychometric and neurobiological evidence provides withdrawal a central role in the development and maintenance of addiction. The current study offers insight into these conflicting positions by using secondary analyses to assess how a history of DSM-assessed withdrawal influences the magnitude of bias in neural reactivity to drug- and/or food-related reward cues. To this end, we separated an existing sample of cocaine-dependent participants (Denomme et al., 2018) into those with (WD) and without (N-WD) a history of withdrawal, and compared food- and drug-cue reactivity between these groups, and to a non-dependent control group (ND). Analyses indicated that biases in neural reactivity towards drug- versus food-related cues only occurred among the WD participants (within: left dorsomedial prefrontal cortex, left anterior cingulate cortex, left orbitofrontal cortex, left caudate nucleus, and right ventrolateral prefrontal cortex). Thus, withdrawal status may be an important factor to consider when interpreting dependence-related biases in neural reactivity following reward-related cues. Interestingly, while N-WD participants did not show these broad biases in neural reactivity, the magnitude of their bias correlated positively with years of lifetime substance use history, particularly when psychopathic traits were low. It may be that for individuals who's addiction has not yet reached a compulsive state (see Wise and Koob, 2014), the magnitude of their drug > food bias could serve as a valuable biomarker of addiction severity.

High-Dose Gabapentin for the Treatment of Severe Alcohol Withdrawal Syndrome: A Retrospective Cohort Analysis

STUDY OBJECTIVE

Gabapentin has been proved to be beneficial in promoting abstinence, decreasing alcohol cravings, and improving mood and sleep quality when given at higher doses; however, data are limited regarding the efficacy and safety of using high-dose gabapentin as part of the treatment of alcohol withdrawal syndrome (AWS). The aim of this study was to evaluate the impact of high-dose gabapentin on benzodiazepine requirements, alcohol withdrawal symptoms, and hospital length of stay in patients hospitalized with AWS.

DESIGN

Retrospective cohort study.

SETTING

Large academic medical center.

PATIENTS

All adults presenting to the emergency department between January 2015 and April 2018 with a diagnosis of severe AWS (Clinical Institute Withdrawal Assessment for Alcohol Scale, Revised [CIWA-Ar] score ≥ 15) and prescribed the institution's alcohol withdrawal agitated delirium protocol were eligible for inclusion in the study. Of these, 50 patients who received high-dose gabapentin (≥ 1800 mg/day) in the first 48 hours of hospital admission (treatment group) were propensity score-matched to 50 patients who did not receive gabapentin (control group).

MEASUREMENTS AND MAIN RESULTS

Patients who received high-dose gabapentin required a significantly lower overall amount of benzodiazepines (mean ± SD 109.5 ± 53.4 mg vs 88.5 ± 35.6 mg [lorazepam equivalents], p=0.023) and had a significantly lower mean CIWA-Ar score (10.1 ± 4.7 vs 7.7 ± 3.9, p=0.010) and maximum CIWA-Ar score (16.0 ± 7.0 vs 12.6 ± 6.1, p=0.016) on day 3 of hospitalization. The high-dose gabapentin regimen was well tolerated, without an increased risk of oversedation, compared with the control group (Richmond Agitation-Sedation Scale score < -1: 34% in the treatment group vs 20% in the control group, p=0.115). Patients receiving high-dose gabapentin had a shorter length of hospital stay (7.4 ± 4.0 days vs 6.0 ± 2.6 days, p=0.034) and increased likelihood of being discharged home (66% vs 88%, p=0.009) compared with the control group.

CONCLUSION

Early initiation of high-dose gabapentin was associated with a significant reduction in benzodiazepine exposure, faster stabilization of alcohol withdrawal-related symptoms, and shorter hospital length of stay. Future studies evaluating gabapentin's effect on long-term safety and hospital readmission are warranted.

Alcohol-related seizures may be associated with more severe depression, alcohol dependence syndrome, and more pronounced alcohol-related problems

Severe alcohol abuse and related medical and social functioning risks, as well as clinically significant depression, are common in patients who are admitted to hospital with alcohol-related seizures (ARS) and significantly affect the quality of life of the patient. Compared with studies involving patients with alcohol dependence, no large-scale studies with the aim of finding the prevalence and severity of depression and its most commonly affected aspects for patients with ARS have been carried out in Latvia yet. The habits and frequency of alcohol use in correlation to depression and its severity are also not known. One hundred ten patients were included in the study - 60 patients with ARS and 50 patients with alcohol use disorder (AUD) - without ARS. The research population consists mainly of working-age adults; however, most patients with ARS have significantly impaired daily activity and social life. Compared with patients who only have alcohol dependence, a more common problem in patients with ARS is having an alcohol dependence level that requires additional clinical examinations and consultations by a narcologist using the Alcohol Use Disorder Identification Test (AUDIT) scale, and this level is more often related to depression particularly characterized by pronounced suicidal thoughts (exhibited by almost 1 out of every 4 patients). According to the Hamilton Depression Rating Scale (HAM-D), depression has affected 81.7% of patients with ARS and 96% of patients with AUD. Seizures negatively affect patients' physical and emotional well-being in over 80% of cases; moreover, it is common for most patients to feel depressed after the seizures. Over half of the patients with ARS scored 20-40 points according to the AUDIT scale, indicating serious alcohol abuse disorder. Our research data can help bring awareness of the need to more carefully evaluate patients with ARS for an early detection of alcohol abuse disorder and depression with a risk of self-harm and unintentional harm to others as well as to decrease the burden on social care and healthcare. This article is part of the Special Issue "Individualized Epilepsy Management: Medicines, Surgery and Beyond".

Algorithm Analysis of the DSM-5 Alcohol Withdrawal Symptom

BACKGROUND

Alcohol withdrawal (AW) is an important clinical and diagnostic feature of alcohol dependence. AW has been found to predict a worsened course of illness in clinical samples, but in some community studies, AW endorsement rates are strikingly high, suggesting false-positive symptom assignments. Little research has examined the validity of the DSM-5 algorithm for AW, which requires either the presence of at least 2 of 8 subcriteria (i.e., autonomic hyperactivity, tremulousness, insomnia, nausea, hallucinations, psychomotor agitation, anxiety, and grand mal seizures), or, the use of alcohol to avoid or relieve these symptoms.

METHODS

We used item and algorithm analyses of data from waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (current drinkers, n = 26,946 at wave 1) to study the validity of DSM-5 AW as operationalized by the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV (AUDADIS-IV).

RESULTS

A substantial proportion of individuals given the AW symptom reported only modest to moderate levels of alcohol use and alcohol problems. Alternative AW algorithms were superior to DSM-5 in terms of levels of alcohol use and alcohol problem severity among those with AW, group difference effect sizes, and predictive validity at a 3-year follow-up. The superior alternative algorithms included those that excluded the nausea subcriterion; required withdrawal-related distress or impairment; increased the AW subcriteria threshold from 2 to 3 items; and required tremulousness for AW symptom assignment.

CONCLUSIONS

The results indicate that the DSM-5 definition of AW, as assessed by the AUDADIS-IV, has low specificity. This shortcoming can be addressed by making the algorithm for symptom assignment more stringent.

Meta-Analysis Reveals Significant Association of the 3'-UTR VNTR in SLC6A3 with Alcohol Dependence

BACKGROUND

Although many studies have analyzed the association of 3'-untranslated region variable-number tandem repeat (VNTR) polymorphism in SLC6A3 with alcohol dependence (AD), the results remain controversial. This study aimed to determine whether this variant indeed has any genetic effect on AD by integrating 17 reported studies with 5,929 participants included.

METHODS

The A9-dominant genetic model that considers A9-repeat and non-A9 repeat as 2 genotypes and compared their frequencies in alcoholics with that in controls was adopted. Considering the potential influence of ethnicity, differences in diagnostic criteria of AD, and alcoholic subgroups, stratified meta-analyses were conducted. There existed no evidence for the presence of heterogeneity among the studied samples, indicating the results under the fixed-effects model are acceptable.

RESULTS

We found a significant association of VNTR A9 genotypes with AD in all ethnic populations (pooled odds ratio [OR] 1.12; 95% confidence interval [CI] 1.00, 1.25; p = 0.045) and the Caucasian population (pooled OR 1.15; 95% CI 1.01, 1.31; p = 0.036). We also found VNTR A9 genotypes to be significantly associated with alcoholism as defined by the DSM-IV criteria (pooled OR 1.18; 95% CI 1.03, 1.36; p = 0.02). Further, we found a significant association between VNTR A9 genotypes and alcoholism associated with alcohol withdrawal seizure or delirium tremens (pooled OR 1.55; 95% CI 1.24, 1.92; p = 1.0 × 10(-4) ). In all these meta-analyses, no evidence of publication bias was detected.

CONCLUSIONS

We concluded that the VNTR polymorphism has an important role in the etiology of AD, and individuals with at least 1 A9 allele are more likely to be dependent on alcohol than persons carrying the non-A9 allele.

Latent class analysis of DSM-5 criteria for opioid use disorders: results from the Iranian National Survey on Mental Health

BACKGROUND

Assessments of DSM-IV and DSM-5 criteria with sample populations of opioid users are limited. This study aimed to determine the number of latent classes in opioid users and assessment of the proposed revisions to the DSM-5 opioid use disorder (OUD) criteria.

METHODS

Data came from the 2011 Iranian National Mental Health Survey (IranMHS) on 7,886 participants aged 15-64 years living in Iran. We used the Composite International Diagnostic Interview (CIDI) version 2.1 in all respondents who indicated using opioids at least 5 times in the previous 12 months (n = 236).

RESULTS

A three-class model provided the best fit of all the models tested. Classes showed a spectrum of severity that was compatible with the DSM-5 classification. 'Legal problems' and 'desire to cut down' showed poor discrimination between classes. The weighted prevalence of OUD using DSM-5 was 20.7% higher than with DSM-IV.

CONCLUSIONS

RESULTS support the grouping based on severity of symptoms, combining abuse and dependence into a single diagnosis, omitting legal problems, and addition of craving as a new criterion.

DSM-5 criteria for substance use disorders: recommendations and rationale

Since DSM-IV was published in 1994, its approach to substance use disorders has come under scrutiny. Strengths were identified (notably, reliability and validity of dependence), but concerns have also arisen. The DSM-5 Substance-Related Disorders Work Group considered these issues and recommended revisions for DSM-5. General concerns included whether to retain the division into two main disorders (dependence and abuse), whether substance use disorder criteria should be added or removed, and whether an appropriate substance use disorder severity indicator could be identified. Specific issues included possible addition of withdrawal syndromes for several substances, alignment of nicotine criteria with those for other substances, addition of biomarkers, and inclusion of nonsubstance, behavioral addictions.This article presents the major issues and evidence considered by the work group, which included literature reviews and extensive new data analyses. The work group recommendations for DSM-5 revisions included combining abuse and dependence criteria into a single substance use disorder based on consistent findings from over 200,000 study participants, dropping legal problems and adding craving as criteria, adding cannabis and caffeine withdrawal syndromes, aligning tobacco use disorder criteria with other substance use disorders, and moving gambling disorders to the chapter formerly reserved for substance-related disorders. The proposed changes overcome many problems, while further studies will be needed to address issues for which less data were available.

The association between DRD2/ANKK1 and genetically informed measures of alcohol use and problems

In 1990, Blum and colleagues first reported an association between DRD2 and alcoholism. While there have been subsequent replications of this genetic association, there have also been numerous studies that failed to detect an association between DRD2 and alcohol dependence. We propose that one aspect contributing to this inconsistency is the variation in alcohol phenotype used across studies. Within the population-based Finnish twin sample, FinnTwin16, we previously performed multivariate twin analyses to extract latent genetic factors, which account for the variation across seven measures of alcohol consumption (frequency of drinking, frequency × quantity, frequency of heavy drinking, frequency of intoxication and maximum drinks in a 24-hour period) and problems (the Rutgers Alcohol Problem Index-RAPI and the Mälmö-modified Michigan Alcohol Screen Test-MmMAST) in 3065 twins. In the present study, we examined the association between 31 DRD2/ANKK1 single-nucleotide polymorphisms (SNPs) and the genetic factor scores generated by twin analyses in a subset of FinnTwin16 (n = 602). We focus on two of the genetic factors: a general alcohol consumption and problems factor score, which represents shared genetic variance across alcohol measures, and a alcohol problems genetic factor score, which loads onto the two indices of problematic drinking (MAST and RAPI). After correction for multiple testing across SNPs and phenotypes, of the 31 SNPs genotyped across DRD2/ANKK1, one SNP (rs10891549) showed significant association with the general alcohol consumption and problems factor score (P = 0.004), and four SNPs (rs10891549, rs1554929, rs6275, rs6279), representing two independent signals after accounting for linkage disequilibrium, showed significant association with the alcohol problems genetic factor score (P = 0.005, P = 0.005, P = 0.003, P = 0.003). In this study, we provide additional positive evidence for the association between DRD2/ANKK1 and alcohol outcomes, including frequency of drinking and drinking problems. Additionally, post hoc analyses indicate stronger association signals using genetic factor scores than individual measures, which suggest that accounting for the genetic architecture of the alcohol measures reduces genetic heterogeneity in alcohol dependence outcomes in this sample and enhances the ability to detect association.

The association between the SLC6A3 VNTR 9-repeat allele and alcoholism-a meta-analysis

BACKGROUND

Dopamine transporter gene (SLC6A3) represents a promising candidate involved in the development of alcoholism. This study aimed to explore the association between the 9-repeat allele (A9) of a 40-bp variable number tandem repeat (VNTR) polymorphism in the 3' un-translated region (3' UTR) of the SLC6A3 gene and alcoholism.

METHODS

The SLC6A3 VNTR was genotyped by PCR in unrelated Mexican Americans including 337 controls and 365 alcoholics. Pearson's chi-square test or Fisher's exact test was used to compare the genotype and allele distribution. Meta-analyses were performed for population-based case-control association studies of the SLC6A3 VNTR polymorphism with alcoholism. Data were analyzed under random effect models with the Comprehensive Meta-analysis (v.2) statistical software package.

RESULTS

In Mexican Americans, no significant difference was found in allele and genotype distribution between controls and alcoholics or between controls and alcoholics with alcohol withdrawal seizure (AWS) or delirium tremens (DT) (unadjusted p > 0.05). A total of 13 research articles were included in the meta-analyses. No significant difference of the SLC6A3 VNTR A9 was noted between controls and alcoholics at the genotypic and allelic level when all ethnic populations, only Caucasian populations, or only Asian populations were considered (p > 0.05). Significant associations were observed between SLC6A3 VNTR A9 and alcoholics with AWS or DT at the genotypic as well as allelic level when all ethnic populations or only Caucasian populations were considered (p < 0.05, OR 1.5-2.1).

CONCLUSIONS

Meta-analyses suggest a possible association between the SLC6A3 VNTR A9 and alcoholic subgroup with AWS or DT.

Item response theory analysis of binge drinking and its relationship to lifetime alcohol use disorder symptom severity in an American Indian community sample

BACKGROUND

Item response theory (IRT) has been used to examine alcohol use disorder (AUD) symptoms and their psychometric properties but has not been previously applied to AUD symptoms from an American Indian sample.

METHODS

Lifetime DSM-IV AUD symptoms and binge drinking (5+ drinks men/4+ drinks women) at ≥1, ≥4, ≥8, and ≥15 days per month during the period of heaviest lifetime drinking criteria were assessed in 530 American Indian participants. Exploratory factor analysis was used to examine the factor structure of the 10 AUD symptoms and each alcohol consumption criterion. Two-parameter IRT models generated marginal maximum likelihood estimates for discrimination (a) and threshold (b) parameters for 10 DSM-IV AUD symptoms and each consumption criterion. Differential item functioning (DIF) analysis was used to assess AUD symptom severity in groups defined by gender and age at interview.

RESULTS

The AUD symptoms of "Withdrawal" and "Activities Given Up" were the most severe symptoms. "Tolerance" and "Social/Interpersonal Problems" were the least severe. All AUD symptoms fell on the moderate portion of the severity continuum, except "Withdrawal," which fell at the lower end of the severe portion. The consumption criterion of 5+/4+ (male/female) at ≥8 times per month demarcated the portion of the severity continuum where AUD symptoms began to occur at a probability of 50%. DIF analysis showed significant gender and age at interview differences for "Hazardous Use,""Tolerance," and "Activities Given Up," but not for the other AUD symptoms.

CONCLUSIONS

In this American Indian community sample, alcohol abuse and dependence did not represent distinct disorders. Only one AUD symptom was found outside the moderate portion of the underlying AUD severity continuum. Drinking 5+/4+ (male/female) drinks at a frequency of ≥8 times per month during the period of heaviest lifetime drinking was found to function well as both a risk and a diagnostic criterion for lifetime DSM-IV AUD. DSM-IV AUD symptom criteria, as currently assessed, may be limited in their ability to capture the full range of symptom severity of AUDs, at least in this high-risk population.

Meta-analysis of depression and substance use among individuals with alcohol use disorders

The relationships of depression with alcohol and drug use and impairment were examined. Additional analyses were conducted to examine moderators of these associations. Empirical reports on adults with alcohol abuse or dependence published in English in peer-reviewed journals since 1986 that contained data on depression and substance use variable(s) were obtained using a systematic search. The search yielded 74 studies including 58 reports from clinical venues, 10 that were community based, and 6 with subjects from both settings. As hypothesized, the analyses showed that depression is associated with concurrent alcohol use and impairment and drug use and impairment. Effect sizes were small. Depression was also related to future alcohol use and impairment, an earlier age of onset of an alcohol use disorder, and higher treatment participation. Age moderated the association between depression and alcohol use and impairment such that the association was stronger in older samples.

An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study

OBJECTIVE

The aim of this study was to examine psychometric properties of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), diagnostics criteria for alcohol and marijuana dependences among 462 alcohol users and 311 marijuana users enrolled in two multisite trials of the National Drug Abuse Treatment Clinical Trials Network.

METHOD

Diagnostic questions were assessed by the DSM-IV checklist. Data were analyzed by the item response theory and the multiple indicators-multiple causes method procedures.

RESULTS

Criterion symptoms of alcohol and marijuana dependences exhibited a high level of internal consistency. All individual symptoms showed good discrimination in distinguishing alcohol or marijuana users between high and low severity levels of the continuum. In both groups, "withdrawal" appeared to measure the most severe symptom of the dependence continuum. There was little evidence of measurement nonequivalence in assessing symptoms of dependence by gender, age, race/ethnicity, and educational level.

CONCLUSIONS

These findings highlight the clinical utility of the DSM-IV checklist in assessing alcohol- and marijuana dependence syndromes among treatment-seeking substance users.

How should we revise diagnostic criteria for substance use disorders in the DSM-V?

This article reviews literature on the validity and performance characteristics of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) diagnostic criteria for substance use disorders (SUDs) and recommends changes in these criteria that should be considered for the next edition of the DSM (DSM-V). Substantial data indicate that DSM-IV substance abuse and substance dependence are not distinct categories and that SUD criteria are best modeled as reflecting a unidimensional continuum of substance-problem severity. The conceptually and empirically problematic substance abuse diagnosis should be abandoned in the DSM-V, with substance dependence defined by a single set of criteria. Data also indicate that various individual SUD criteria should be revised, dropped, or considered for inclusion in the DSM-V. The DSM-V should provide a framework that allows the integration of categorical and dimensional approaches to diagnosis. Important areas for further research are noted.

Clinical implications of tolerance to alcohol in nondependent young drinkers

BACKGROUND

Ten percent of teenagers and young adults with no alcohol diagnosis and a third of those with alcohol abuse report tolerance to alcohol. However, relatively few data are available on the clinical implications of tolerance in nondependent men and women.

METHODS

Data were gathered from 649 18-to-22-year-old drinking offspring from the Collaborative Study on the Genetics of Alcoholism (COGA) families. The prevalence and clinical correlates of tolerance were evaluated across subjects with no DSM-IV alcohol abuse and no tolerance, similar individuals with tolerance, subjects with alcohol abuse but no tolerance, and individuals with both alcohol abuse and tolerance.

RESULTS

Tolerance was associated with an almost doubling of the number of drinks needed to feel alcohol's effects, and correlated with additional alcohol-related problems. In regression analyses, the most consistent and robust correlates of tolerance were the maximum number of drinks and alcohol problems, and tolerance remained informative after covarying for drinking quantity.

CONCLUSIONS

Tolerance to alcohol may be a useful concept regarding nondependent drinkers that is not just a proxy for alcohol quantity but also reflects the presence of additional problems.

Cannabis withdrawal predicts severity of cannabis involvement at 1-year follow-up among treated adolescents

AIMS

Controversy exists regarding the inclusion of cannabis withdrawal as an indicator of dependence in the next revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). This study contrasted the concurrent and predictive validity of three operational definitions of cannabis withdrawal in a sample of treated adolescents.

DESIGN

Prospective study of treated adolescents with 1-year follow-up.

SETTING AND PARTICIPANTS

Adolescents (n=214) were recruited from intensive out-patient treatment programs for substance abuse, and followed at 1 year (92% retention). Youth who were included in the analyses reported regular cannabis use.

MEASUREMENTS

The number of DSM-IV cannabis abuse and dependence symptoms at baseline and 1-year follow-up, past year frequency of cannabis use at baseline and follow-up, and periods of abstinence at 1-year follow-up. Cannabis withdrawal was defined based on (i) the presence of two or more cannabis withdrawal symptoms; (ii) a definition proposed by Budney and colleagues (2006) that requires four or more withdrawal symptoms (four-symptom definition); and (iii) the use of latent class analysis to identify subgroups with similar cannabis withdrawal symptom profiles.

FINDINGS AND CONCLUSIONS

All three definitions of cannabis withdrawal demonstrated some concurrent validity. Only the four-symptom and latent class-derived definitions of withdrawal predicted severity of cannabis-related problems at 1-year follow-up. No cannabis withdrawal definition predicted frequency of use at follow-up. Further research is needed to determine the clinical utility and validity of the four-symptom definition, as well as alternative definitions of cannabis withdrawal, to inform revisions leading to DSM-V and ICD-11.

The 3' part of the dopamine transporter gene DAT1/SLC6A3 is associated with withdrawal seizures in patients with alcohol dependence

BACKGROUND

Some studies have reported that the A9 allele of the variable nucleotide tandem repeat (VNTR) of the gene which encodes the dopamine transporter (DAT1/SLC6A3) is associated with alcoholism withdrawal symptoms such as alcohol withdrawal seizures (WSs), whereas others did not. We investigated whether polymorphisms within the DAT1 gene are associated with WS taking into account some of the confounding factors such as the severity of alcohol dependence.

METHODS

To further assess the role of this gene in WS, we genotyped the VNTR and 7 single nucleotide polymorphisms (SNPs) encompassing the DAT1 gene in a sample of 250 alcohol-dependent subjects (175 men and 75 women), of whom 24% exhibited WSs, taking into account the severity of alcohol dependence.

RESULTS

The VNTR is associated with an increased risk of WSs (odd ratio = 3.5; p = 0.019), even when controlling for confounding factors (p = 0.031). As 2 SNPs, in roughly the same location of the gene (namely rs27072 and rs27048), are also associated with WSs, it is possible that the initial association of the VNTR polymorphism was tagging a specific haplotype of this gene. Indeed, in our sample of alcohol-dependent patients, 2 haplotypes were associated with a significantly different risk of WSs.

CONCLUSIONS

The present study adds evidence for a significant role of the 3' part of the DAT1 gene in WS of alcohol-dependent patients, not only because it is in accordance with previous work, but also because of larger statistical power (as relying on a sample over sampled with the studied phenotype), as it gives a more precise analysis of different SNPs within the DAT1 gene, and as it confirms the association when major potentially confounding factors are taken into account in a logistical regression analysis.

Assessing addiction: concepts and instruments

Efficient, organized assessment of substance use disorders is essential for clinical research, treatment planning, and referral to adjunctive services. In this article, we discuss the basic concepts of formalized assessment for substance abuse and addiction, as established by the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision, and describe six widely used structured assessment instruments. Our aim is to help researchers and clinical programs identify the instruments that best suit their particular situations and purposes.

Family-Based Association Analyses of Alcohol Dependence Phenotypes Across DRD2 and Neighboring Gene ANKK1

BACKGROUND

There is an extensive and inconsistent literature on the association of the dopamine D2 receptor gene (DRD2) with alcohol dependence. Conflicting results have been attributed to differences in the severity of the alcohol dependence phenotype across studies, failure to exclude related disorders from comparison groups, and artifacts of population-stratification. Recently the genetic polymorphism most widely analyzed in DRD2, Taq1A, has been discovered to reside in a neighboring gene, ankyrin repeat and kinase domain containing 1 (ANKK1), located 10 kb downstream from DRD2.

METHODS

To more carefully characterize evidence for association across this region, we genotyped 26 single nucleotide polymorphisms (SNPs) spanning DRD2 and ANKK1 in a sample of 219 Caucasian families (n = 1,923) from the Collaborative Study on the Genetics of Alcoholism (COGA), making this the most extensive analysis to date of association between this region and alcohol dependence. We used family-based analyses robust to population-stratification, and we made use of rich phenotypic data to analyze alcohol dependence and subtypes hypothesized in the literature to be more directly influenced by DRD2.

RESULTS

We found that the evidence for association is strongest in the 5' linkage disequilibrium block of ANKK1 (that does not contain Taq1A), with weak evidence of association with a small number of SNPs in DRD2. The association in ANKK1 is strongest among the subsets of alcoholics with medical complications and with antisocial personality disorder.

CONCLUSIONS

More extensive genotyping across DRD2 and ANKK1 suggests that the association with alcohol dependence observed in this region may be due to genetic variants in the ANKK1 gene. ANKK1 is involved in signal transduction pathways and is a plausible biological candidate for involvement in addictive disorders.

Alcohol use disorders and the use of treatment services among college-age young adults

OBJECTIVES

This study examined the utilization of and the perceived need for alcohol treatment services among college-age young adults (18-22 years) according to their educational status: full-time college students, part-time college students, noncollege students (currently in school with the highest grade level below college), and nonstudents (N=11,337). This breakdown of young adults had not been addressed previously.

METHODS

Secondary analyses were conducted on data from the 2002 National Survey on Drug Use and Health.

RESULTS

Full-time college students (21%) were as likely to have an alcohol use disorder as nonstudents (19%), but were more likely than part-time college students (15%) and noncollege students (12%). Only 4% of full-time college students with an alcohol use disorder received any alcohol services in the past year. Of those with an alcohol use disorder who did not receive treatment services, only 2% of full-time college students, close to 1% of part-time college students, and approximately 3% of young adults who were not in college reported a perceived need for alcohol treatment. Full-time college students were less likely than noncollege students to receive treatment for alcohol use disorders. All young adults with an alcohol use disorder were very unlikely to perceive a need for alcohol treatment or counseling.

CONCLUSIONS

College-age adults have a high prevalence of alcohol use disorders, yet they are very unlikely to receive alcohol treatment or early intervention services or to perceive a need for such services. Underutilization of alcohol-related services among college-age young adults deserves greater research attention.

Alcohol use disorders and the use of treatment services among college-age young adults

OBJECTIVES

This study examined the utilization of and the perceived need for alcohol treatment services among college-age young adults (18-22 years) according to their educational status: full-time college students, part-time college students, noncollege students (currently in school with the highest grade level below college), and nonstudents (N=11,337). This breakdown of young adults had not been addressed previously.

METHODS

Secondary analyses were conducted on data from the 2002 National Survey on Drug Use and Health.

RESULTS

Full-time college students (21%) were as likely to have an alcohol use disorder as nonstudents (19%), but were more likely than part-time college students (15%) and noncollege students (12%). Only 4% of full-time college students with an alcohol use disorder received any alcohol services in the past year. Of those with an alcohol use disorder who did not receive treatment services, only 2% of full-time college students, close to 1% of part-time college students, and approximately 3% of young adults who were not in college reported a perceived need for alcohol treatment. Full-time college students were less likely than noncollege students to receive treatment for alcohol use disorders. All young adults with an alcohol use disorder were very unlikely to perceive a need for alcohol treatment or counseling.

CONCLUSIONS

College-age adults have a high prevalence of alcohol use disorders, yet they are very unlikely to receive alcohol treatment or early intervention services or to perceive a need for such services. Underutilization of alcohol-related services among college-age young adults deserves greater research attention.

Substance dependence and non-dependence in the Diagnostic and Statistical Manual of Mental Disorders (DSM) and the International Classification of Diseases (ICD): can an identical conceptualization be achieved?

BACKGROUND

This review summarizes the history of the development of diagnostic constructs that apply to repetitive substance use, and compares and contrasts the nature, psychometric performance and utility of the major diagnoses in the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD) diagnostic systems.

METHODS

The available literature was reviewed with a particular focus on diagnostic concepts that are relevant for clinical and epidemiological practice, and so that research questions could be generated that might inform the development of the next generation of DSM and ICD diagnoses.

RESULTS

The substance dependence syndrome is a psychometrically robust and clinically useful construct, which applies to a range of psychoactive substances. The differences between the DSM fourth edition (DSM-IV) and the ICD tenth edition (ICD-10) versions are minimal and could be resolved. DSM-IV substance abuse performs moderately well but, being defined essentially by social criteria, may be culture-dependent. ICD-10 harmful substance use performs poorly as a diagnostic entity.

CONCLUSIONS

There are good prospects for resolving many of the differences between the DSM and ICD systems. A new non-dependence diagnosis is required. There would also be advantages in a subthreshold diagnosis of hazardous or risky substance use being incorporated into the two systems. Biomedical research can be drawn upon to define a psychophysiological 'driving force' which could underpin a broad spectrum of substance use disorders.

Alcohol abuse and dependence criteria as predictors of a chronic course of alcohol use disorders in the general population

AIMS

To investigate whether DSM-IV abuse and dependence criteria and the ICD-10 criterion for craving differentially predict a chronic course of alcohol use disorders (AUD) in the general population.

METHODS

Data were derived from the Netherlands Mental Health Survey and Incidence Study, a large representative sample of the general Dutch population with a baseline and a 1- and 3-year follow-up assessment. In the present study, a cohort of subjects with a DSM-IV AUD diagnosis at baseline was followed (n = 382). Diagnostic criteria of AUD according to DSM-IV and ICD-10 were assessed using the Composite International Diagnostic Interview (CIDI).

RESULTS

In our cohort of subjects with an AUD diagnosis at baseline, the presence of all dependence criteria, except tolerance, significantly increased the risk for dependence at 1 and 3 years follow-up. Abuse criteria displayed much lower and often non-significant risks for dependence at follow-up, with the exception of the criterion 'legal problems'. The ICD-10 criterion 'craving' had the highest relative risk (RR) of all criteria for dependence at 1 year (RR = 12.4, 95% CI = 5.5-27.8) and 3 years follow-up (RR = 12.9, 95% CI = 4.4-37.7).

CONCLUSION

With the exception of tolerance, all DSM-IV dependence criteria are useful in predicting the course of AUD in the general population.

THE CRAVING WITHDRAWAL MODEL FOR ALCOHOLISM: TOWARDS THE DSM-V. IMPROVING THE DISCRIMINANT VALIDITY OF ALCOHOL USE DISORDER DIAGNOSIS

AIMS

To compare the discriminant validity of the DSM-IV and the ICD-10 classification of alcohol use disorders (AUD) with an alternative classification, the craving withdrawal model (CWM). CWM requires craving and withdrawal for the diagnosis of alcohol dependence and raises the alcohol abuse threshold to two DSM-IV AUD criteria.

METHODS

Data were derived from The Netherlands Mental Health Survey and Incidence Study, a large representative sample of the general Dutch population. In the present study, only non-abstinent subjects were included (n=6041). Three diagnostic systems (DSM-IV, ICD-10, and CWM) were compared using the following discriminant variables: alcohol intake, psychiatric comorbidity, functional status, familial alcohol problems, and treatment sought.

RESULTS

The year prevalence of CWM alcohol dependence was lower than the prevalence of ICD-10 and DSM-IV dependence (0.3% vs 1.4% and 1.4%). The year prevalence of abuse was similar for CWM and DSM-IV (4.7 and 4.9%), but lower for ICD-10 harmful use (1.7%). DSM-IV resulted in a poor distinction between normality and abuse and ICD-10 resulted in a poor distinction between harmful use and dependence. In contrast, the CWM distinctions between normality and abuse, and between abuse, and dependence were significant for most of the discriminant variables.

CONCLUSION

This study indicates that CWM improves the discriminant validity of AUD diagnoses. The predictive validity of the CWM for alcohol and other substance use disorders remain to be studied.

Association of sleep disturbance with chronicity and remission of alcohol dependence: data from a population-based prospective study

OBJECTIVE

We assessed the association of three types of self-reported sleep disturbances (insomnia, hypersomnia, and sleep disturbance caused by worry) among individuals with chronic and remitted alcohol dependence, using prospectively gathered data from a population-based sample.

METHODS

Probability samples of area residents were selected by census tracks and households in Baltimore, MD, in 1981, as part of the Epidemiologic Catchment Area program (n = 3481). Between 1993 and 1996, the original cohort was traced, and 73% of the survivors were re-interviewed (n = 1920). Three groups for alcohol dependence status were identified: (1) chronic, (2) remitted, and (3) no lifetime or current history of dependence. Logistic regression models were used to assess the association between alcohol dependence status for each type of sleep disturbance.

RESULTS

Of the 248 individuals with alcohol dependence, most had achieved remission of dependence by the time of the median 13-year follow-up interview (n = 211). A total of 37 met criteria for chronic dependence. After holding constant potential confounders (age, sex, race, educational level, marital status, psychiatric and illicit drug disorder history, health services use, and age of onset of first alcohol-related problem), we found that chronic dependence was associated with insomnia (odds ratio = 2.60; 95% confidence interval = 1.11-6.08; p = 0.03), relative to those without a history of dependence. Remitted dependence was not associated with sleep disturbance in the models adjusted for covariates. In supplemental analyses, we assessed the association of drinking status with alcohol dependence remission.

CONCLUSIONS

Individuals with persistent alcohol dependence have greater odds of insomnia than those whose alcohol dependence remits. The need for prospectively gathered data from community-based samples to assess further the temporal relationships of sleep disturbance, alcohol dependence, and alcohol consumption level is discussed.