Journal of Addictive Diseases最新文献

Background: Flavors contribute to the appeal of tobacco products, but less is known about flavors in cigar products. The current study is the first to focus on characterizing the use and perceptions of flavors in cigar products among pregnant women.

Methods: Pregnant women (N = 124) reported their use, preferences (liking, attractiveness, smoothness, interest), perceptions of harm (general, pregnancy-specific, fetal), and postpartum intention to use eight flavor categories (menthol/mint, spices, fruit, chocolate, alcohol, other beverages, candy/sweet, tobacco). We utilized correspondence analysis of contingency tables to investigate clustering of preferences and perceptions of flavors across the sample, and examined how preferences and perceptions of flavors may differ based on history of cigar use (none vs. lifetime vs. prenatal).

Results: Overall, 37% reported never trying cigars, 51% reported lifetime use, and 12% reported prenatal use. Fruit (37%), tobacco (36%), and alcohol (14%) were the most common cigar flavors participants reported ever trying. Correspondence analysis revealed clustering in preferences for alcohol, fruit, and candy flavors compared to other flavors, and revealed lower intentions to use menthol/mint and tobacco flavors compared to other flavors. Participants who reported prenatal cigar use also reported more positive perceptions and greater intentions to use (1) spice and alcohol flavors compared to those who reported lifetime use (ps < .05); and (2) spice, alcohol, fruit, and tobacco cigar flavors compared to participants reporting never using cigars (ps < .04).

Conclusions: Regulations to restrict the availability of flavors, especially fruit, spice, and alcohol, may reduce the appeal and use of cigar products in pregnant women.

It is crucial that future physicians understand the nature of opioid use disorder (OUD). We designed a pilot Observed Structured Clinical Examination (OSCE) using simulated patients (SPs) experiencing OUD with concurrent chronic pain. The case was piloted in 2021 and 2022 during the multi-station OSCE that all the medical school clerkship students take at the end of their third year of medical school. A total of 111 medical students completed the OSCE in 2021 and 93 in 2022. The authors developed a case description and an assessment instrument for the SP to evaluate the student's performance on history taking, communication and professionalism. The evaluation was mixed-methods using SP evaluation data and a qualitative assessment of medical students' answers to 4 questions which were analyzed with a priori codes. In both years, the total scores for the case were slightly slower than the established OSCE cases in both years. A total of 75% (148/197) of students who responded to the assessment found the case difficult to manage. Strengths of the case included a majority of the students reporting the case helped them to identify strengths and weakness in assessing and treating OUD. Weaknesses included the lack of enough patient history and the perception that the SP was unrealistic (too nice). This pilot OSCE was challenging for the third year medical students based on the evaluative data. Given the scope of OUD and deaths, training students to identify and treat OUD during undergraduate medical education is of paramount importance.

The opioid epidemic and limited access to treatment for opioid withdrawal (OW) and opioid use disorder (OUD) has led individuals to seek alternative treatments. This narrative review aims to educate clinicians on the mechanisms of action, toxicity, and applications of psychoactive plant-based substances patients may be using to self-treat OUD and OW. We specifically discuss ayahuasca, ibogaine, and kratom as they have the most evidence for applications in OUD and OW from the last decade (2012-2022). Evidence suggests these substances may have efficacy in treating OW and OUD through several therapeutic mechanisms including their unique pharmacodynamic effects, rituals performed around ingestion, and increased neuroplasticity. The current evidence for their therapeutic application in OUD and OW is primarily based on small observational studies or animal studies. High-quality, longitudinal studies are needed to clarify safety and efficacy of these substances in treatment of OW and OUD.

Background: Sexual dysfunction caused by opioids is one of the serious problems of drug misusers.

Objective: This study aimed to evaluate and compare the effect of continuous low-dose sildenafil treatment alongside psychological training on the sexual function of methadone-treated patients.

Method: This randomized clinical trial was conducted on methadone-treated men with sexual dysfunction. Patients were randomly divided into two treatment groups: sildenafil 25 mg and psychological training. Sexual Quality of Life-Men, Sexual Self-Efficacy Scale-Erectile, and the International Index of Erectile Function were used before and 4 weeks after the end of the intervention.

Results: A total of 67 couples were included in the study (34 psychological interventions vs. 33 sildenafil group). After 4 weeks of treatment, the mean of male erectile function (33.73 ± 8.114 and 27.62 ± 6.238, p = 0.003) and sexual self-efficacy score (78.36 ± 12.713 and 69.62 ± 14.940, p < 0.0001) in the sildenafil group were statistically significant compared to the psychological group, however, the sexual quality score of the two groups was not statistically significant (31.48 ± 9.216 and 31.71 ± 11.333, p = 0.342).

Conclusions: The sexual function of methadone-treated men in both groups was significantly improved, yet this difference was significantly greater in the pharmaceutical treatment group than the trainings. As a result, due to the high need for treatment, any type of intervention (medication or psychotherapy) will be effective in these patients.

Wernicke's encephalopathy (WE) is a dangerous and potentially fatal neurological condition associated with thiamin deficiency. The standard treatment for WE is intravenous (IV) thiamin, but limited research describes optimal dosing. We present a case of a 40-year-old male with severe alcohol use disorder (AUD) and chronic malnourishment who developed WE. Upon administration of 100 mg IV thiamin, symptoms of WE persisted, but when the dose was increased to 500 mg, altered mental status and ophthalmoplegia resolved rapidly. IV thiamin is a reliable and low-risk treatment for WE, even when administered at high doses. High-dose IV thiamin (i.e., >/100 mg) can treat neurological symptoms and cognitive dysfunction in WE and should be considered for first-line treatment. Further study of WE diagnostic and treatment guidelines is warranted to maximize recovery potential.

Background: Spirituality is a construct encompassing a diversity of strongly held beliefs and pursuits related to life's meaning and purpose. Empirical studies in key domains of spirituality related to substance use disorder (SUD) can be valuable in guiding research, and potentially clinical care.

Objectives: To conduct a scoping review of research on the psychological, biological, and cultural dimensions of spirituality and their role in relation to SUD. To identify limitations in empirical findings within these domains and identify promising areas for related research.

Data sources, study appraisal, and synthesis methods: Illustrative studies available in the empirical literature are reviewed in order to characterize these three key domains.

Results: Certain areas of importance stand out: On Psychology, attribution of SUD to a spiritual outlook; spiritual awakening; the relation of spirituality to drug craving; and spirituality in the context of psychedelic-assisted psychotherapy. On Biology, heritability of traits related to shared spiritual experience; neurophysiologic correlates of spiritually related experiences; and correlates in brain imaging; On Culture, spiritual aspects of SUD in different cultural settings; distinctions between spiritual and religious phenomena; roles that international organizations play; and context of acquiring recovery capital. The need for further research in each area is defined.

Conclusions: There is utility in examining the diversity of findings in the roles of psychology, biology, and culture in the SUD field. Further research, particularly applying randomization and clinical controls, would be useful in improving the effective application of the construct of spirituality in clinical care.

Findings on the effects of alcohol warning labels (AWLs) as a harm reduction tool have been mixed. This systematic review synthesized extant literature on the impact of AWLs on proxies of alcohol use. PsycINFO, Web of Science, PubMED, and MEDLINE databases and reference lists of eligible articles. Following PRISMA guidelines, 1,589 articles published prior to July 2020 were retrieved via database and 45 were via reference lists (961 following duplicate removal). Article titles and abstracts were screened, leaving the full text of 96 for review. The full-text review identified 77 articles meeting inclusion/exclusion criteria which are included here. Risk of bias among included studies was examined using the Evidence Project risk of bias tool. Findings fell into five categories of alcohol use proxies including knowledge/awareness, perceptions, attention, recall/recognition, attitudes/beliefs, and intentions/behavior. Real-world studies highlighted an increase in AWL awareness, alcohol-related risk perceptions (limited findings), and AWL recall/recognition post-AWL implementation; these findings have decreased over time. Conversely, findings from experimental studies were mixed. AWL content/formatting and participant sociodemographic factors also appear to influence the effectiveness of AWLs. Findings suggest conclusions differ based on the study methodology used, favoring real-world versus experimental studies. Future research should consider AWL content/formatting and participant sociodemographic factors as moderators. AWLs appear to be a promising approach for supporting more informed alcohol consumption and should be considered as one component in a comprehensive alcohol control strategy.

Background: Women who are over 50 years are drinking alcohol in higher quantities and more frequently than in previous decades. Good engagement with primary care is crucial for women's physical and psychological health, particularly if they use alcohol. However, there is little known about the alcohol use of women over 50 and their use of primary care.

Methods: A systematic search was conducted on six databases; CINAHL, Medline, PsycINFO, Academic Search Complete, EMBASE and Web of Science to identify literature on primary health care engagement of women 50 years and older (50+) who use alcohol. Titles and abstracts were reviewed and full texts were independently reviewed by two researchers. A narrative review, critical appraisal and synthesis of the eligible studies produced common themes and key findings.

Results: After excluding 3822 articles, 13 articles were deemed eligible for the review. For this age group (50+), findings were: 1) women who drink heavily were less likely than men to attend General Practitioners (GPs), moderate drinkers were more likely than abstainers to attend mammogram screening, 2) GPs were less likely to ask questions or discuss alcohol with women than with men, 3) GPs offered less advice on alcohol to women than to men, and 4) less women than men received alcohol screening from their GP.

Discussion: While women 50+ are drinking more, their alcohol use is underreported and insufficiently provided for in primary health. As women's life expectancy increases, improved GP engagement will benefit women's health and reduce future healthcare costs.

The research proposes to investigate the psychological reasons that may explain women's addiction to smoking during pregnancy and the perception of combustible cigarettes, electronic cigarettes and heated tobacco cigarettes. The sample included 30 participants who smoke or people who previously smoked who chose to quit or continue smoking during pregnancy. The data was gathered via a semi-structured interview and developed from three research questions: feelings, opinions and perceptions of pregnant women toward e-cigarettes, heated tobacco cigarettes, and combustible cigarettes. The study used thematic qualitative analysis for the methodological formulation of the results. The Standards for Reporting Qualitative Research Standards (QRRS) checklist was used. In this qualitative research, three psychological reasons for the onset of smoking were found and analyzed: feelings of stress, nervousness, and loneliness. According to the results: 40.91% of the women who smoked combustible cigarettes decided to keep on smoking and 59.09% decided to quit, 16.67% of participants who use heated tobacco cigarette decided to continue during pregnancy and the remaining 83.33% decide to stop; lastly, there is a condition of fairness for adults who use e-cigarette, 50% decided to continue smoking during pregnancy and the other 50% decided to stop smoking. The data indicate that those who continue to smoke during pregnancy are participants who smoke combustible cigarettes, stating that they reduce the amount of smoke inhaled. Meanwhile, participants who use heated tobacco cigarettes or e-cigarettes are certain that they pose less risk than combustible cigarettes; nevertheless, most of them decide to quit smoking during pregnancy. Another important aspect that has been noted is that of formal abandonment treatments, as quite unexpectedly, there has been a unanimous recognition of strong distrust toward the possible risks to the unborn child. There is a lot of distrust and little knowledge of official smoking cessation therapies, and because of this, participants stated that they can quit smoking whenever they want and only with their own willpower. Five categories and related themes emerged from the thematic analysis, such as reasons for starting with themes such as stress, irritation, loneliness, adolescence and integration; reasons for attachment to topics such as habit and carelessness about one's health; perceptions of traditional cigarettes compared to e-cigarettes and heated cigarettes with related topics such as sensory experiences and side effects; feelings and use of official smoking cessation therapies with issues as willpower and knowledge; information on the effects of smoke during pregnancy and breastfeeding, including risk information.

Background: Buprenorphine for opioid use disorder (B-MOUD) is essential to improving patient outcomes; however, retention is essential.

Objective: To develop and validate machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans initiating B-MOUD.

Methods: Veterans initiating B-MOUD from fiscal years 2006-2020 were identified. Veterans' B-MOUD episodes were randomly divided into training (80%;n = 45,238) and testing samples (20%;n = 11,309). Candidate algorithms [multiple logistic regression, least absolute shrinkage and selection operator regression, random forest (RF), gradient boosting machine (GBM), and deep neural network (DNN)] were used to build and validate classification models to predict six binary outcomes: 1) B-MOUD retention, 2) any overdose, 3) opioid-related overdose, 4) overdose death, 5) opioid overdose death, and 6) all-cause mortality. Model performance was assessed using standard classification statistics [e.g., area under the receiver operating characteristic curve (AUC-ROC)].

Results: Episodes in the training sample were 93.0% male, 78.0% White, 72.3% unemployed, and 48.3% had a concurrent drug use disorder. The GBM model slightly outperformed others in predicting B-MOUD retention (AUC-ROC = 0.72). RF models outperformed others in predicting any overdose (AUC-ROC = 0.77) and opioid overdose (AUC-ROC = 0.77). RF and GBM outperformed other models for overdose death (AUC-ROC = 0.74 for both), and RF and DNN outperformed other models for opioid overdose death (RF AUC-ROC = 0.79; DNN AUC-ROC = 0.78). RF and GBM also outperformed other models for all-cause mortality (AUC-ROC = 0.76 for both). No single predictor accounted for >3% of the model's variance.

Conclusions: Machine-learning algorithms can accurately predict OUD-related outcomes with moderate predictive performance; however, prediction of these outcomes is driven by many characteristics.