Lessons learnt from alcoholism and substance use disorders (SUDs) during the COVID-19 pandemic in India

SUD is a widespread non-communicable disease (NCD) with biological, social, or psychological foundations which policymakers have given less attention during the COVID-19 pandemic. People with alcohol dependence went into withdrawal as a result of the lockdown and acute lack of alcohol availability, which led to black marketing and, in extreme cases, suicide. On the other hand, De-addiction services in India were not adequately equipped for the SUD pandemic, and as a result, most services could not cope with lockdown problems. To generate revenue and to get out of this Catch-22 situation, the Government opened liquor shops and sold alcohol while people purchased it as usual because of excess stress, lack of social contact, loneliness and boredom. We recommend that during COVID-19 pandemic, national, state, and local governments, as along with organisations such as Alcoholics Anonymous, develop and support networks to address the needs of patients with SUD.

Fragility of reward vs antifragility of defense brain systems in drug dependence

Drug dependence is a debilitating disorder, affecting 30 million people worldwide. In this short review we discuss about the plasticity changes in the reward and defense brain systems induced by early-life psychosocial stressful experiences. Such changes may render persons more vulnerable to illicit drugs use, facilitating behaviors of abuse and development of addiction. We propose that underlying plasticity changes render brain reward system as increasingly fragile because of tolerance and other physiological effects that reduce responsiveness with repeated use. In contrast, we propose that brain defense system makes maintain antifragile mechanisms that generate more robust responses with the prolonged consumption of drugs. Investigating the underlying mechanisms of these brain plasticity changes may advance the development of more efficacious pharmacologic and psychotherapeutic approaches to rehabilitate patients and more efficacious prevention policies to protect children from stressful experiences.

Development and Validation of a Prediction Model of Prescription Tranquilizer Misuse Based on a Nationally Representative United States Sample

BACKGROUND

Prescription tranquilizer misuse is a risky behavior associated with fatal drug poisonings. Although various predictors have been examined, there is no published prediction model for tranquilizer misuse. This study develops and internally validates a tranquilizer misuse prediction model based primarily on drug histories of participants in a national cross-sectional survey. Predictors also include psychiatric, behavioral and demographic variables.

METHODS

We analyzed data from 471,097 individuals aged 14-to-29-years in the United States, as sampled by the National Survey of Drug Use and Health, 2004-2018, an annual cross-sectional survey. We encoded 21 predictors with known or likely onset prior to tranquilizer misuse initiation, (e.g., early onset of cannabis use). With this dataset, we trained a neural network and regularized logistic regression model. While the assessment for tranquilizer misuse changed slightly in 2015, by pooling all years of survey data, predictions are robust to this source of variation.

RESULTS

1.44% of the pooled sample, 2004-2018, recently initiated tranquilizer misuse (unweighted estimate). On held-out test data (n = 43,714), logistic regression and the neural network performed equally well, with an area under the receiver operating characteristic curve (AUC) of ∼0.83 on the primary model, containing 12 variables known to occur before tranquilizer misuse.

CONCLUSION

Built for case prediction rather than case detection, this model restricted predictors to those with known timing prior to initiation of tranquilizer misuse. Yet its performance supersedes commonly accepted criteria for clinical prediction models (AUC > 0.80). Future work should incorporate survey analysis weights into the prediction model to minimize possible bias.

Opioid Use Disorder and Assessment of Patient Interactions Among Family Medicine Residents, Medical Students, and Physician Assistant Students

INTRODUCTION

In light of the opioid overdose epidemic in the US and the necessity of developing training to conduct difficult conversations around opioid dependence, three case-based videos were created to demonstrate providers using motivational interviewing (MI) with patients who have opioid use disorder (OUD). These vignettes displayed a primary care provider interacting with a patient seeking opioids.

METHODS

Learners-including third-year medical and physician assistant (PA) students, and family medicine residents-viewed three videos set in a family medicine clinic and assessed clinician use of MI when interacting with patients with OUD. The patients were at different levels of acknowledging their need to change their opioid use behaviors and/or pursue treatment. Learners rated each video with an MI rating scale, and a facilitator debriefed strengths, weaknesses, and omissions regarding MI.

RESULTS

Medical and PA students, and resident family physicians provided 572 ratings. Analysis of variance of mean percent incorrect was lower in residents than in all groups combined, but failed to reach statistical significance (47% + 12.0 vs 53% + 15.0, p = .43).

DISCUSSION

These case-based videos with MI ratings afforded students and residents the opportunity to assess clinician use of MI techniques with patients with OUD. The MI rating scale had clinical significance (residents scored +5 points and had more training) despite lacking statistical significance. These scenarios allowed learners to recognize how to use MI when having a difficult conversation with patients who misuse opioids. We envision individual use or use for group discussion.

Effectiveness of Gross Model-Based Emotion Regulation Strategies Training on Anger Reduction in Drug-Dependent Individuals and its Sustainability in Follow-up

Background

Emotion plays an important role in adapting to life changes and stressful events. Difficulty regulating emotions is one of the problems drug abusers often face, and teaching these individuals to express and manage their emotions can be effective on improving their difficult circumstances.

Objectives

The present study aimed to determine the effectiveness of the Gross model-based emotion regulation strategies training on anger reduction in drug-dependent individuals.

Patients and Methods

The present study had a quasi-experimental design wherein pretest-posttest evaluations were applied using a control group. The population under study included addicts attending Marivan’s methadone maintenance therapy centers in 2012 - 2013. Convenience sampling was used to select 30 substance-dependent individuals undergoing maintenance treatment who were then randomly assigned to the experiment and control groups. The experiment group received its training in eight two-hour sessions. Data were analyzed using analysis of co-variance and paired t-test.

Results

There was significant reduction in anger symptoms of drug-dependent individuals after gross model based emotion regulation training (ERT) (P < 0.001). Moreover, the effectiveness of the training on anger was persistent in the follow-up period.

Conclusions

Symptoms of anger in drug-dependent individuals of this study were reduced by gross model-based emotion regulation strategies training. Based on the results of this study, we may conclude that the gross model based emotion regulation strategies training can be applied alongside other therapies to treat drug abusers undergoing rehabilitation.

The patterns of drug and alcohol use and associated problems over 30 years in 397 men

BACKGROUND

Alcohol and drug use disorders (AUDs and SUDs) and their combination are relatively common and often occur together. However, the relationships of potential early life correlates of alcohol and drug disorders to the combined diagnoses have rarely been evaluated in long-term prospective studies or in populations at high risk of one of these diagnoses but not the other.

METHODS

Data were analyzed from 397 males (half with an alcohol-dependent father) who had no AUDs or SUDs at age 20 and who were followed approximately every 5 years for 3 decades. Early life correlates and the course of AUDs, SUDs, and combined disorders were evaluated for 4 groups of subjects based on subsequent alcohol and/or drug diagnoses.

RESULTS

While the overall rates of the development of AUDs and SUDs were 41 and 21%, respectively, the rates of the second substance-related diagnosis were almost 2-fold higher for individuals who had the first condition. Among potential risk factors, scores for externalizing traits were elevated for men with AUDs, SUDs, and their combination, but a low level of response (low LR) to alcohol was associated only with the risk of AUDs, even when observed in the context of SUDs. The same earlier life characteristics that related to AUDs and to SUDs also related to the combination of these diagnoses in the same person. Finally, in this prospective study, subjects with both AUDs and SUDs had a more severe course than subjects with either condition alone.

CONCLUSIONS

This prospective evaluation of a group at high risk of AUDs confirmed the selective impact of the low LR on the risk of AUDs, the relationship of externalizing characteristics to both AUDs and SUDs and confirmed the more severe clinical course for both conditions when seen together.