The Roles of Emotion Regulation Difficulties and Impulsivity in the Associations between Borderline Personality Disorder Symptoms and Frequency of Nonprescription Sedative Use and Prescription Sedative/Opioid Misuse

Prescription opioid misuse in relation to addiction susceptibility among women at a Saudi university

Objectives

The trends of prescription opioid misuse are understudied in Arab populations, let alone among university students. Additionally, little is known about the psychological traits that increase susceptibility for such behaviors in this region. Thus, this study aimed to assess the prevalence of prescription opioid misuse and its association with addiction susceptibility, as measured by the Substance Abuse Risk Profile Scale (SURPS).

Methods

We sampled university students from King Saud University's women's campus. Data on prescription opioid misuse, SURPS traits, and demographic characteristics were collected using an electronic self-administered survey.

Results

Lifetime prescription opioid misuse was 48.5%, while past-month misuse was 28.9%. On average, SURPS subscale scores for impulsivity (mean = 11.6; SD = 2.8) hopelessness (mean = 12.3; SD = 3.5), sensation seeking (mean = 16.4; SD = 3.8), and anxiety sensitivity (mean = 14.6; SD = 2.6). Anxiety sensitivity composite scores significantly differed between students reporting misuse and those who did not. Moreover, the odds for prescription opioid misuse increased by 7% for every 1 unit increase in anxiety sensitivity (AOR = 1.07; 95% CI = 1.00, 1.14), when controlling for other SURPS measures and student characteristics.

Conclusion

The prevalence of prescription opioid misuse in our study is higher than what is reported in global student populations. This may reflect unmonitored availability of controlled substances and unsupervised medical prescriptions. Additionally, high levels of anxiety sensitivity may be driving such misuse. Further surveillance of prescription drug misuse among university students and motivators for such behavior is needed for planning prevention and control interventions.

Endogenous opiates and behavior: 2020

This paper is the forty-third consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2020 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

Emotion regulation and substance use: A meta-analysis

There has been exponential growth in research on emotion regulation and substance use in the past decade. The current meta-analysis evaluated variability in the magnitude of the relation between aspects of emotion regulation and substance use. A search of PsycINFO, Embase, PubMed, CINAHL Plus, and PILOTS in December 2020 resulted in 6642 initial studies, of which 95 met inclusion criteria (association between emotion regulation and substance use was reported, participants were > 18 years old, article was in English). A total of 445 effects were obtained (N = 156,025 participants; weighted M_age = 29.31; 59.5% female; 66.1% White; 76.6% non-clinical). Emotion regulation and substance use were significantly related (r = 0.19; p < 0.001; 95%CI [0.17, 0.20]). Emotion regulation abilities were generally more strongly related to substance use than emotion regulation strategies; this pattern was stronger for behavioral vs. cognitive abilities and extended to both negative and positive emotions. Relations were stronger for older and clinical samples; mixed effects were found for sex and no conclusive effects were found for race. Despite limitations of the existing literature (e.g., cross-sectional, self-reports), results indicated that the magnitude of the relation between emotion regulation and substance use varied considerably as a function of emotion regulation and substance use constructs and sample characteristics.

Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma

BACKGROUND

Substance use disorders (SUDs) are a major public health risk. However, mechanisms accounting for continued patterns of poor choices in the face of negative life consequences remain poorly understood.

METHODS

We use a computational (active inference) modeling approach, combined with multiple regression and hierarchical Bayesian group analyses, to examine how treatment-seeking individuals with one or more SUDs (alcohol, cannabis, sedatives, stimulants, hallucinogens, and/or opioids; N = 147) and healthy controls (HCs; N = 54) make choices to resolve uncertainty within a gambling task. A subset of SUDs (N = 49) and HCs (N = 51) propensity-matched on age, sex, and verbal IQ were also compared to replicate larger group findings.

RESULTS

Results indicate that: (a) SUDs show poorer task performance than HCs (p = 0.03, Cohen's d = 0.33), with model estimates revealing less precise action selection mechanisms (p = 0.004, d = 0.43), a lower learning rate from losses (p = 0.02, d = 0.36), and a greater learning rate from gains (p = 0.04, d = 0.31); and (b) groups do not differ significantly in goal-directed information seeking.

CONCLUSIONS

Findings suggest a pattern of inconsistent behavior in response to positive outcomes in SUDs combined with a tendency to attribute negative outcomes to chance. Specifically, individuals with SUDs fail to settle on a behavior strategy despite sufficient evidence of its success. These learning impairments could help account for difficulties in adjusting behavior and maintaining optimal decision-making during and after treatment.

Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma

BACKGROUND

Substance use disorders (SUDs) are a major public health risk. However, mechanisms accounting for continued patterns of poor choices in the face of negative life consequences remain poorly understood.

METHODS

We use a computational (active inference) modeling approach, combined with multiple regression and hierarchical Bayesian group analyses, to examine how treatment-seeking individuals with one or more SUDs (alcohol, cannabis, sedatives, stimulants, hallucinogens, and/or opioids; N = 147) and healthy controls (HCs; N = 54) make choices to resolve uncertainty within a gambling task. A subset of SUDs (N = 49) and HCs (N = 51) propensity-matched on age, sex, and verbal IQ were also compared to replicate larger group findings.

RESULTS

Results indicate that: (a) SUDs show poorer task performance than HCs (p = 0.03, Cohen's d = 0.33), with model estimates revealing less precise action selection mechanisms (p = 0.004, d = 0.43), a lower learning rate from losses (p = 0.02, d = 0.36), and a greater learning rate from gains (p = 0.04, d = 0.31); and (b) groups do not differ significantly in goal-directed information seeking.

CONCLUSIONS

Findings suggest a pattern of inconsistent behavior in response to positive outcomes in SUDs combined with a tendency to attribute negative outcomes to chance. Specifically, individuals with SUDs fail to settle on a behavior strategy despite sufficient evidence of its success. These learning impairments could help account for difficulties in adjusting behavior and maintaining optimal decision-making during and after treatment.