Covid-19 interface with drug misuse and substance use disorders

Large-Scale Deep Learning-Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic intensified the challenges associated with mental health and substance use (SU), with societal and economic upheavals leading to heightened stress and increased reliance on drugs as a coping mechanism. Centers for Disease Control and Prevention data from June 2020 showed that 13% of Americans used substances more frequently due to pandemic-related stress, accompanied by an 18% rise in drug overdoses early in the year. Simultaneously, a significant increase in social media engagement provided unique insights into these trends. Our study analyzed social media data from January 2019 to December 2021 to identify changes in SU patterns across the pandemic timeline, aiming to inform effective public health interventions.

OBJECTIVE

This study aims to analyze SU from large-scale social media data during the COVID-19 pandemic, including the prepandemic and postpandemic periods as baseline and consequence periods. The objective was to examine the patterns related to a broader spectrum of drug types with underlying themes, aiming to provide a more comprehensive understanding of SU trends during the COVID-19 pandemic.

METHODS

We leveraged a deep learning model, Robustly Optimized Bidirectional Encoder Representations from Transformers Pretraining Approach (RoBERTa), to analyze 1.13 billion Twitter (subsequently rebranded X) posts from January 2019 to December 2021, aiming to identify SU posts. The model's performance was enhanced by a human-in-the-loop strategy that subsequently enriched the annotated data used during the fine-tuning phase. To gain insights into SU trends over the study period, we applied a range of statistical techniques, including trend analysis, k-means clustering, topic modeling, and thematic analysis. In addition, we integrated the system into a real-time application designed for monitoring and preventing SU within specific geographic locations.

RESULTS

Our research identified 9 million SU posts in the studied period. Compared to 2019 and 2021, the most substantial display of SU-related posts occurred in 2020, with a sharp 21% increase within 3 days of the global COVID-19 pandemic declaration. Alcohol and cannabinoids remained the most discussed substances throughout the research period. The pandemic particularly influenced the rise in nonillicit substances, such as alcohol, prescription medication, and cannabinoids. In addition, thematic analysis highlighted COVID-19, mental health, and economic stress as the leading issues that contributed to the influx of substance-related posts during the study period.

CONCLUSIONS

This study demonstrates the potential of leveraging social media data for real-time detection of SU trends during global crises. By uncovering how factors such as mental health and economic stress drive SU spikes, particularly in alcohol and prescription medication, we offer crucial insights for public health strategies. Our approach paves the way for proactive, data-driven interventions that will help mitigate the impact of future crises on vulnerable populations.

Kynurenine amplifies tetrahydrocannabinol-induced sensorimotor impairment and classic "tetrad" effects in mice

BACKGROUND

L-kynurenine (KYN), a kynurenine pathway (KP) metabolite, is the main precursor for the neuroactive metabolite kynurenic acid (KYNA). Several studies suggest a patho-physiologically relevant association between increased brain KYNA levels and cognitive dysfunctions in individuals with schizophrenia. Δ9-tetrahydrocannabinol (Δ9-THC; i.e. the main psychoactive compound of cannabis) can worse schizophrenia-related psychosis, often leads to the development of cannabis use disorder in individuals with schizophrenia, and increases the risk of earlier onset of schizophrenia symptoms in those with a genetic predisposition. A role of KP alterations and, specifically, increased brain KYNA levels in Δ9-THC-induced psychotic symptoms has been previously proposed. The aim of the study was to investigate on the possible involvement of KP alterations in Δ9-THC-induced sensorimotor and "tetrad" responses in mice.

METHODS

Adult male CD-1 mice were treated with Δ9-THC (30 mg/ kg; i.p.) and KYN (20 mg/kg; i.p.), alone or in combination, and body temperature, acute mechanical and thermal analgesia, motor activity and sensorimotor responses were evaluated. Furthermore, brain KYNA levels as well as plasma Δ9-THC and its metabolites concentrations after the treatments were also evaluated.

RESULTS

Brain KYNA levels were significantly increased 1 h, but not 4 h, after KYN and KYN + Δ9-THC administration. KYN administration amplified the Δ9-THC-induced impairment of sensorimotor responses (visual placing, acoustic and tactile responses). Furthermore, KYN significantly increased Δ9-THC-induced motor activity impairment (bar test, drag test and rotarod test) and hypothermia (core and surface body temperature), but not Δ9-THC-induced analgesia. Finally, 1 h after Δ9-THC administration, Δ9-THC and its psychoactive metabolite 11-OH-THC plasma levels were higher in mice pretreated with KYN than in control mice.

CONCLUSIONS

The present data indicate for the first time that KYN amplifies the THC-induced sensorimotor impairment and classic "tetrad" response possibly through a pharmacokinetic interaction.

Transcriptomic Profile of the Male Rat Hypothalamus and Nucleus Accumbens After Paroxetine Treatment and Withdrawal: Possible Causes of Sexual Dysfunction

Paroxetine, a selective serotonin reuptake inhibitor (SSRI), may induce sexual dysfunction during treatment and upon discontinuation. The mechanisms involved have been poorly explored so far. We have analyzed, by RNA sequencing, the whole transcriptomic profile in the hypothalamus and nucleus accumbens (NAc) (two brain regions involved in sexual behavior) of male rats daily treated for 2 weeks with paroxetine (T0) and at 1 month of withdrawal (T1). Data here reported show seven differentially expressed genes (DEGs) at T0 and 1 at T1 in the hypothalamus and 245 at T0 and 6 at T1 in the NAc. In addition, Gene-Set Enrichment, Gene Ontology, and Reactome analyses confirm that inflammatory signature and immune system activation were present at T0 in both brain areas. Considering that inflammation is generally associated with depression and that no paradigms inducing the pathology were here applied, these SSRI pro-depressive effects should be considered in patients without a clear indication of depression. Moreover, DEGs related to neurotransmitters with a role in sexual behavior and the reward system, such as dopamine (e.g., sialyltransferase 8B-ST8SIA3), glutamate (e.g., glutamate receptor ionotropic delta-2-GRID2) and GABA (e.g., glutamate decarboxylase type 2-GAD2) or associated with neurexin and neuroligin pathways and brain-derived neurotrophic factor (BDNF) signaling, were reported to be dysregulated in the NAc, further confirming dysfunction in this brain area. Interestingly, the analysis of DEGs altered at T1 in the NAc confirms the persistence of some of these side effects providing further information for post-SSRI sexual dysfunction (PSSD) etiopathogenesis.

Differences in the Rates of Diagnoses of Mental and Behavioral Disorders Due to Psychoactive Substance Use by Sex and Age during Pre-Pandemic and COVID-19 Pandemic Periods in Kazakhstan

BACKGROUND

The COVID-19 pandemic had profound impacts worldwide on individuals with mental and behavioral disorders, including disorders due to psychoactive substance use. We investigated how the COVID-19 pandemic affected the trends in these disorders in the Republic of Kazakhstan.

METHODS

We researched and compared ICD-10 data on mental and behavioral disorders due to substance use in Kazakhstan that were diagnosed in 2018-2019 (pre-pandemic) versus 2020-2021 (the pandemic period).

RESULTS

The data for the pandemic period were significantly different from those of the pre-pandemic in that (i) 'other stimulant-related disorders (F15)' and 'other psychoactive substance-related disorders (F19)' were increased in the younger age groups, (ii) the risk of 'opioid-related disorders (F11)' was decreased in the 30-year-old group in both males and females, and (iii) the risk of 'alcohol-related disorders (F10)' was increased in the 30-year-old group and decreased in the 20- and 50-year-old groups. In only the males, (iv) the risk of 'other psychoactive substance-related disorders (F19)' was increased in almost all of the age groups, and (v) the risk of 'cannabis-related disorders (F12)' was increased in the ≥50-year-olds. The pre-pandemic and pandemic periods thus involved changes due to COVID-19 in both males and females that were especially notable in males.

CONCLUSIONS

These results indicate that further measures designed to prevent mental and behavioral disorders due to psychoactive substances are necessary at the primary, secondary, and tertiary levels, and personnel in medicine/nursing, the government, private organizations, and the public need to collaborate to devise such measures.

Walk-in mental health: Bridging barriers in a pandemic

'Single Session Therapy' (SST) is a service delivery model that seeks to provide an evidence-based, solution-focused, brief intervention within a single therapy session. The stand-alone session affords the opportunity to provide brief psychological interventions while clients await access to longer-term services. The COVID-19 pandemic has adversely impacted individuals' mental health. However, the majority of research has investigated patient mental health within hospital settings and community organizations that offer long-term services, whereas minimal research has focused on mental health concerns during COVID-19 within an SST model. The primary aim of the study was to measure client experiences of a brief mental health service. The nature of client mental health concerns who access such services at various points during a pandemic was also investigated. The current study utilized client feedback forms and the Computerized Adaptive Testing-Mental Health (CAT-MH) to measure client experiences and mental health concerns. Qualitative analysis of client feedback forms revealed themes of emotional (e.g., safe space) and informational support (e.g., referrals). Clients also reported reduced barriers to accessing services (e.g., no appointment necessary, no cost), as well as limitations (e.g., not enough sessions) of the Walk-in clinic. Profile analysis of the CAT-MH data indicated that clients had higher rates of depression before COVID-19 (M = 64.2, SD = 13.07) as compared to during the pandemic (M = 59.78, SD = 16.87). In contrast, higher rates of positive suicidality flags were reported during the pandemic (n = 54) as compared to before (n = 29). The lower reported rates of depression but higher rate of suicidality during the pandemic was an unanticipated finding that contradicted prior research, to which possible explanations are explored. Taken together, the results demonstrate the positive experiences of clients who access a single session therapy.

Conceptualizing COVID-19 syndemics: A scoping review

Background

COVID-19's heavy toll on human health, and its concentration within specific at-risk groups including the socially vulnerable and individuals with comorbidities, has made it the focus of much syndemic discourse. Syndemic theory recognizes that social factors create the conditions that support the clustering of diseases and that these diseases interact in a manner that worsens health outcomes. Syndemics theory has helped to facilitate systems-level approaches to disease as a biosocial phenomenon and guide prevention and treatment efforts. Despite its recognized value, reviews of syndemics literature have noted frequent misuse of the concept limiting its potential in guiding appropriate interventions.

Objective

To review how the term 'syndemic' is defined and applied within peer-reviewed literature in relation to COVID-19.

Design

A scoping review of definitions within COVID-19 literature published between January 1, 2020 to May 15, 2023 was conducted. Searches took place across six databases: Academic Search Premier, CINAHL, JSTOR, MEDLINE/Pubmed, PsycINFO and Scopus. PRISMA-ScR guidelines were followed.

Results

Content analysis revealed that COVID-19 has varied clustered configurations of communicable-non-communicable diseases and novel communicable disease interactions. Spatial analysis was presented as a new strategy to evidence syndemic arrangements. However, syndemics continue to be regarded as universal, with continued misunderstanding and misapplication of the concept.

Conclusion

This review found that current applications of syndemics remain problematic. Recommendations are made on the design of syndemic studies. A syndemic framework offers an opportunity for systems-level thinking that considers the full complexity of human-disease interactions and is useful to inform future pandemic preparations and responses.

Opioid and benzodiazepine misuse in the United States: The impact of socio-demographic characteristics

BACKGROUND AND OBJECTIVES

In 2021, drug overdose deaths in the United States reached a new record of 107,622. Misuse of opioids and benzodiazepines accounts for a large portion of drug overdose deaths. However, the effects of socio-demographic characteristics on misuse of opioids and benzodiazepines are not evident. Thus, this study examines the socio-demographic characteristics associated with misuse of opioids and benzodiazepines among adults in the United States.

METHODS

Data from 2015-2019 National Survey on Drug Use and Health was utilized in the multinomial logistic regression analysis and included 202,935 adults ages ≥18 years.

RESULTS

During 2015-2019, 3.3% of the adults misused opioids, 1.2% misused benzodiazepines, and 0.9% misused both drugs in the preceding year of the survey. Those who were younger, bisexual, non-Hispanic White, had a history of delinquency in the past year, had alcohol dependence/abuse, marijuana dependence/abuse, nicotine dependence and use, and experienced major depressive episodes were more likely to misuse opioids, benzodiazepines, or both.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

A large portion of US adults are misusing opioids, benzodiazepines, and both drugs. Specifically, bisexual individuals experience higher odds of opioid misuse, benzodiazepine misuse and misuse of both drugs compared with heterosexuals, while males are experiencing lower odds of benzodiazepine misuse compared with females. Individuals aged 26-49 experience the highest odds of opioid misuse, though misuse of both drugs was higher among the 18-25 age group. Findings underscore the use of targeted preventive measures to reduce misuse of these drugs among at-risk populations identified in this study.

Assessing the risk of COVID-19 reinfection and severe outcomes among individuals with substance use disorders: a retrospective study using real-world electronic health records

OBJECTIVE

Despite advancement in vaccines and treatments for COVID-19 over the past 2 years, many concerns remain about reinfection and waning immunity against COVID-19 and its variants, especially among people with substance use disorder (SUD). The study assessed the risk of COVID-19 reinfection and severe illness among adults with SUD and their vaccination status to inform management in this vulnerable population as the pandemic continues.

DESIGN

Retrospective cohort study.

SETTING

Nationwide electronic health records (TriNetX database) in the USA among adults with COVID-19 infection from January 2020 to June 2022.

PARTICIPANTS

Adults (age ≥18 years) who were infected by COVID-19, excluding those who had cancer or lived in nursing homes or palliative care facilities.

OUTCOME MEASURES

COVID-19 reinfection was defined as a new diagnosis after 45 days of the initial infection. Logistic regression was applied to assess the OR of COVID-19 reinfection and severe outcomes within 30 day of reinfection for adults with alcohol (AUD), opioid (OUD), cocaine (CUD), stimulant (STUD), cannabis (CAUD) and other use disorders, controlled for demographic and comorbid conditions.

RESULTS

The SUD cohort was 13%-29% more likely to be reinfected by COVID-19 and had significantly higher 30-day mortality. Adults with AUD, STUD and OUD were at greater risks (adjusted ORs, AORs=1.69-1.86) of emergency department, hospital and intensive care admissions after 30 days of reinfection. Individuals with SUD and multiple vaccines doses were associated with decreased risks of worse COVID-19 outcomes. Lower COVID-19 reinfection rates (AORs=0.67-0.84) were only found among individuals with AUD, CUD or CAUD who had COVID-19 vaccination.

CONCLUSIONS

Individuals with SUD had greater risks of COVID-19 reinfection and poor outcomes, especially those with OUD, STUD and AUD. Multiple vaccinations are recommended to reduce severe illness after COVID-19 reinfection in the SUD population.

16S rRNA gene sequencing and machine learning reveal correlation between drug abuse and human host gut microbiota

Over the past few years, there has been increasing evidence highlighting the strong connection between gut microbiota and overall well-being of the host. This has led to a renewed emphasis on studying and addressing substance use disorder from the perspective of brain-gut axis. Previous studies have suggested that alcohol, food, and cigarette addictions are strongly linked to gut microbiota and faecal microbiota transplantation or the use of probiotics achieved significant efficacy. Unfortunately, little is known about the relationship between drug abuse and gut microbiota. This paper aims to reveal the potential correlation between gut microbiota and drug abuse and to develop an accurate identification model for drug-related faeces samples by machine learning. Faecal samples were collected from 476 participants from three regions in China (Shanghai, Yunnan, and Shandong). Their gut microbiota information was obtained using 16S rRNA gene sequencing, and a substance use disorder identification model was developed by machine learning. Analysis revealed a lower diversity and a more homogeneous gut microbiota community structure among participants with substance use disorder. Bacteroides, Prevotella_9, Faecalibacterium, and Blautia were identified as important biomarkers associated with substance use disorder. The function prediction analysis revealed that the citrate and reductive citrate cycles were significantly upregulated in the substance use disorder group, while the shikimate pathway was downregulated. In addition, the machine learning model could distinguish faecal samples between substance users and nonsubstance users with an AUC = 0.9, indicating its potential use in predicting and screening individuals with substance use disorder within the community in the future.

Distinct subpopulations of D1 medium spiny neurons exhibit unique transcriptional responsiveness to cocaine

Drugs of abuse increase extracellular concentrations of dopamine in the nucleus accumbens (NAc), resulting in transcriptional alterations that drive long-lasting cellular and behavioral adaptations. While decades of research have focused on the transcriptional mechanisms by which drugs of abuse influence neuronal physiology and function, few studies have comprehensively defined NAc cell type heterogeneity in transcriptional responses to drugs of abuse. Here, we used single nucleus RNA-seq (snRNA-seq) to characterize the transcriptome of over 39,000 NAc cells from male and female adult Sprague-Dawley rats following acute or repeated cocaine experience. This dataset identified 16 transcriptionally distinct cell populations, including two populations of medium spiny neurons (MSNs) that express the Drd1 dopamine receptor (D1-MSNs). Critically, while both populations expressed classic marker genes of D1-MSNs, only one population exhibited a robust transcriptional response to cocaine. Validation of population-selective transcripts using RNA in situ hybridization revealed distinct spatial compartmentalization of these D1-MSN populations within the NAc. Finally, analysis of published NAc snRNA-seq datasets from non-human primates and humans demonstrated conservation of MSN subtypes across rat and higher order mammals, and further highlighted cell type-specific transcriptional differences across the NAc and broader striatum. These results highlight the utility in using snRNA-seq to characterize both cell type heterogeneity and cell type-specific responses to cocaine and provides a useful resource for cross-species comparisons of NAc cell composition.

Meaning in challenging times: Sense of meaning supports wellbeing despite pandemic stresses

The COVID-19 pandemic created stress and trauma for many individuals. Traumatic experiences often trigger reflection on meaning in life, with subsequent growth or despair. This study evaluates the role of meaning in life in buffering stressors in the early stages of the COVID-19 pandemic. The purpose of this study was to determine the extent to which the negative effects of COVID-19 stressors (self-perceived stress, emotional state, and cognitive adaptation to stress in the pandemic) are influenced by meaning in life in the context of the early stages of the pandemic. Further, this study described differences in meaning in life observed across demographic groups. Web-based surveys were completed by 831 Slovenian participants in April of 2020. Demographic data; perceptions of stressors related to lacking necessities, movement restrictions, and concerns at home; meaning in life; perceived overall health status; anxiety; emotional state; and perceived stress were measured. A moderately strong sense of meaning in life (M = 5.0, SD = 0.74, range 1-7) was reported by participants, and meaning in life was associated with enhanced wellbeing (B = 0.06-.28, p < .01). Both direct and indirect relationships were observed between stressors and wellbeing outcomes. The indirect effects of meaning in life were especially prominent in the relationship between stressors related to lacking necessities and concerns at home and outcomes of anxiety, perceived stress, and negative emotions, contributing 13-27% of the total observed effects. Increased meaning in life was observed across older age groups (F(5, 825) = 4.8, p < .001) and for those in partnered relationships (t(829) = -3.397, p <.001). A strong sense of meaning in life was associated with improved well-being, even for individuals who experienced pandemic-related stressors. Public health initiatives and media may help improve resilience to pandemic trauma by emphasizing the collective meaning in challenging situations.

The development and validation of the pandemic medication-assisted treatment questionnaire for the assessment of pandemic crises impact on medication management and administration for patients with opioid use disorders

Pandemic and the globally applied restriction measures mainly affect vulnerable population groups, such as patients with opioid use disorders. Towards inhibiting SARS-Cov-2 spread, the medication-assisted treatment (MAT) programs follow strategies targeting the reduction of in-person psychosocial interventions and an increase of take-home doses. However, there is no available instrument to examine the impact of such modifications on diverse health aspects of patients under MAT. The aim of this study was to develop and validate the PANdemic Medication-Assisted Treatment Questionnaire (PANMAT/Q) to address the pandemic effect on the management and administration of MAT. In total, 463 patients under ΜΑΤ participated. Our findings indicate that PANMAT/Q has been successfully validated exerting reliability and validity. It can be completed within approximately 5 min, and its implementation in research settings is advocated. PANMAT/Q could serve as a useful tool to identify the needs of patients under MAT being at high risk of relapse and overdose.

Distinct subpopulations of D1 medium spiny neurons exhibit unique transcriptional responsiveness to cocaine

Drugs of abuse increase extracellular concentrations of dopamine in the nucleus accumbens (NAc), resulting in transcriptional alterations that drive long-lasting cellular and behavioral adaptations. While decades of research have focused on the transcriptional mechanisms by which drugs of abuse influence neuronal physiology and function, few studies have comprehensively defined NAc cell type heterogeneity in transcriptional responses to drugs of abuse. Here, we used single nucleus RNA-seq (snRNA-seq) to characterize the transcriptome of over 39,000 NAc cells from male and female adult Sprague-Dawley rats following acute or repeated cocaine experience. This dataset identified 16 transcriptionally distinct cell populations, including two populations of medium spiny neurons (MSNs) that express the Drd1 dopamine receptor (D1-MSNs). Critically, while both populations expressed classic marker genes of D1-MSNs, only one population exhibited a robust transcriptional response to cocaine. Validation of population-selective transcripts using RNA in situ hybridization revealed distinct spatial compartmentalization of these D1-MSN populations within the NAc. Finally, analysis of published NAc snRNA-seq datasets from non-human primates and humans demonstrated conservation of MSN subtypes across rat and higher order mammals, and further highlighted cell type-specific transcriptional differences across the NAc and broader striatum. These results highlight the utility in using snRNA-seq to characterize both cell type heterogeneity and cell type-specific responses to cocaine and provides a useful resource for cross-species comparisons of NAc cell composition.

TLR3 activation with poly I:C exacerbates escalated alcohol consumption in dependent male C57BL/6J mice

Background: Activation of TLR3 receptors, which are sensitive to viral infection, has emerged as a possible mechanism that increases alcohol intake in rodents.Objectives: These studies examined whether a history of ethanol dependence exacerbated the increase in drinking driven by the TLR3 agonist poly I:C.Methods: Male C57BL/6J mice (>10 per group) were given access to ethanol (20% v/v) 2 hours a day following a history of home cage drinking or after having been rendered ethanol-dependent using a chronic intermittent ethanol (CIE) vapor model. After testing multiple doses, a 5 mg/kg repeated poly I:C challenge was used to probe the effects of repeated immune challenge, alone or in conjunction with repeated cycles of CIE, on voluntary drinking. An ethanol (12% v/v) operant self-administration model was used to test the effects of poly I:C on stress-induced reinstatement of ethanol seeking and consumption.Results: Poly I:C in naive animals resulted in transient, modest increases in ethanol intake in the home cage and in self-administration (p < 0.05). However, poly I:C challenge resulted in sensitized stress-induced ethanol consumption and evoked a strong and persistent escalation of drinking in mice with a history of dependence (p < 0.05 for both).Conclusion: Activation of viral immune defense may affect ethanol consumption in dependence and sensitivity to future stressors. As patients who suffer from alcohol use disorder are at a heightened risk for viral infection, this interaction could generate risk factors for exacerbating behaviors associated with Alcohol Use Disorders via an immune mechanism.

Impact of COVID-19 on the characteristics of opioid overdose deaths in Arkansas

Background

In the US, spikes in drug overdose deaths overlapping with the COVID-19 pandemic create concern that persons who use drugs are especially vulnerable. This study aimed to compare the trends in opioid overdose deaths and characterize opioid overdose deaths by drug subtype and person characteristics pre-COVID (2017-2019) and one-year post-COVID-19 emergence (2020).

Methods

We obtained death certificates on drug overdose deaths in Arkansas from January 1, 2017, through December 31, 2020. Our analyses consisted of an interrupted time-series and segmented regression analysis to assess the impact of COVID-19 on the number of opioid overdose deaths.

Results

The proportion of opioid overdose deaths increased by 36% post-COVID emergence (95% CI: 14%, 59%). The trend in overdose deaths involving synthetic narcotics other than methadone, such as fentanyl and tramadol, has increased since 2018 (74 in 2018 vs 79 in 2019; p =0.02 and 79 in 2019 versus 158 in 2020; p = 0.03). Opioid overdose deaths involving methamphetamine have more than doubled (36 in 2019 vs 82 in 2020; p = 0.06) despite remaining steady from 2018 to 2019. Synthetic narcotics have surpassed methamphetamine (71% vs. 37%) as the leading cause of opioid overdose deaths in Arkansas during the pandemic. This study found that synthetic narcotics are the significant drivers of the increase in opioid overdose deaths in Arkansas during the pandemic.

Conclusions

The co-occurrence of the COVID-19 pandemic and the drug abuse epidemic further highlights the increased need for expanding awareness and availability of resources for treating substance use disorders.

Sustained drug delivery strategies for treatment of common substance use disorders: Promises and challenges

Substance use disorders (SUDs) are a leading cause of death and other ill health effects in the United States and other countries in the world. Several approaches ranging from detoxification, behavioral therapy, and the use of antagonists or drugs with counter effects are currently being applied for its management. Amongst these, drug therapy is the mainstay for some drug abuse incidences, as is in place specifically for opioid abuse or alcohol dependence. The severity of the havocs observed with the SUDs has triggered constant interest in the discovery and development of novel medications as well as suitable or most appropriate methods for the delivery of these agents. The chronic need of such drugs in users warrants the need for their prolonged or sustained systemic availability. Further, the need to improve patient tolerance to medication, limit invasive drug use and overall treatment outcome are pertinent considerations for embracing sustained release designs for medications used in managing SUDs. This review aims to provide an overview on up-to-date advances made with regards to sustained delivery systems for the drugs for treatment of different types of SUDs such as opioid, alcohol, tobacco, cocaine, and cannabis use disorders. The clinical relevance, promises and the limitations of deployed sustained release approaches along with future opportunities are discussed.

Self-perceived substance and behavioral addictions among Jewish Israeli adolescents during the COVID-19 pandemic

This study examined self-perceived substance and behavioral addictions among Israeli adolescents during the COVID-19 pandemic across different sociodemographic categories. The sample comprised 2,074 adolescents (40% males, 60% females) aged 12-19 years who completed the survey anonymously and with parental consent. We examined what is the prevalence of self-perceived substance and behavioral addictions in this population in the COVID-19 pandemic context. Participants reported self-perceived addictions to social networks (70%), shopping (46%), binge eating (34%), gaming (30%), sex-related behavior (15%), psychoactive substance (31%, including alcohol, tobacco, cannabis, and/or cocaine), and gambling (3%). Moreover, differences were found to be directly related to age, biological sex, religiosity, socioeconomic status, and immigration status. From a lay epidemiological perspective, the current research expands our knowledge about self-perceived addiction among adolescents during the COVID-19 pandemic, offering better understanding of the likelihood probability factors for self-perceived addiction among adolescents and its related negative outcomes, including increased risk factors for later adult life.

Potential roles of the gut microbiota in the manifestations of drug use disorders

Drug use disorders (DUDs) not only cause serious harm to users but also cause huge economic, security, and public health burdens to families and society. Recently, several studies have shown that gut microbiota (GM) can affect the central nervous system and brain functions. In this review, we focus on the potential role of the GM in the different stages of DUDs. First, the GM may induce individuals to seek novel substances. Second, the gut microbiota is involved in the decomposition and absorption of drugs. Symptoms of individuals who suffer from DUDs are also related to intestinal microorganisms. Third, the effects of the GM and its metabolites on drug relapse are mainly reflected in the reward effect and drug memory. In conclusion, recent studies have preliminarily explored the relationship between GM and DUDs. This review deepens our understanding of the mechanisms of DUDs and provides important information for the future development of clinical treatment for DUDs.