Sexual Differences in Addictions and Dual Disorders: Importance of Gender Perspective DOI Creative Commons
Ana Benito, Fernando Rodrı́guez de Fonseca, Gonzalo Haro

et al.

Brain Sciences, Journal Year: 2022, Volume and Issue: 12(10), P. 1346 - 1346

Published: Oct. 4, 2022

Sex (the biological attributes of females and males) gender (socially constructed roles, behaviours, identities) both affect molecular cellular processes, protective vulnerability factors, social relational life [...].

Language: Английский

Parent Perspectives on Youth Cannabis Use and Mental Health: Impacts, Challenges, and Recommendations DOI
T. Freeman Gerhardt, Melissa Carlson, Kimberly Menendez

et al.

The Journal of Behavioral Health Services & Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Language: Английский

Citations

2

Emotion dysregulation in relation to cannabis use and mental health among young adults DOI Creative Commons
Sara Weidberg, Alba González‐Roz, Yasmina Castaño

et al.

Addictive Behaviors, Journal Year: 2023, Volume and Issue: 144, P. 107757 - 107757

Published: May 21, 2023

Emotion dysregulation (ED) is a transdiagnostic variable that accounts for the onset and maintenance of mental health disorders. The interplay between ED, cannabis use has not been appraised in young adult population whether there are sex-dependent effects yet to be examined. This study looked at ED mediates association past-month health, while considering sex as moderator.2,762 (64.2% women) undergraduate Spanish students completed an online battery. Among others, they fulfilled Depression Anxiety Stress Scale-21 (DASS-21) Difficulties Regulation Scale (DERS-28). A two-way ANOVA assessed on participants' DASS-21 scores. set moderated mediations tested indirect effect through DERS differed by sex.Past-month female users showed higher levels depression, anxiety stress (M = 51.10, SD 26.72) than did men [(M 33.76, 20.31); F(1, 2758) 5.119, p =.024, η2p =.002]. In adults only, was mediated (total score), non-acceptance emotional responses, lack control, difficulties engaging goal-directed behavior, clarity (all p's < 0.005) CONCLUSIONS: Findings indicate importance assessment intervention practices. Interventions targeting may particularly effective users.

Language: Английский

Citations

16

Recent Evidence on the Relation Between Cannabis Use, Brain Structure, and Function: Highlights and Challenges DOI Creative Commons
Karis Colyer‐Patel, Christophe Floriaan Aurelien Romein, Lauren Kuhns

et al.

Current Addiction Reports, Journal Year: 2024, Volume and Issue: 11(3), P. 371 - 383

Published: March 14, 2024

Abstract Purpose of Review This narrative review provides an update our knowledge on the relation between heavy cannabis use and disorder (CUD) brain based (f)MRI studies conducted in past 5 years. Recent Findings Heavy CUD are associated with structural changes—particularly volume—as well as altered resting-state functional connectivity (RSFC) several networks regions. Task-based fMRI reveal activity users compared to controls, but consistency results is domain dependent. Heaviness use, status, age, sex, tobacco co-use important potential moderators effects brain. Summary differences structure function, causality remains unclear, long-term following abstinence require further investigation. Considering crucial assess individual impact use.

Language: Английский

Citations

6

Predicting Co-Occurring Mental Health and Substance Use Disorders in Women: An Automated Machine Learning Approach DOI Creative Commons
Nirmal Acharya,

Padmaja Kar,

Mustafa Ally

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(4), P. 1630 - 1630

Published: Feb. 18, 2024

Significant clinical overlap exists between mental health and substance use disorders, especially among women. The purpose of this research is to leverage an AutoML (Automated Machine Learning) interface predict distinguish co-occurring (MH) disorders (SUD) By employing various modeling algorithms for binary classification, including Random Forest, Gradient Boosted Trees, XGBoost, Extra SGD, Deep Neural Network, Single-Layer Perceptron, K Nearest Neighbors (grid), a super learning model (constructed by combining the predictions Forest XGBoost model), aims provide healthcare practitioners with powerful tool earlier identification, intervention, personalised support women at risk. present presents machine (ML) methodology more accurately predicting co-occurrence in women, utilising Treatment Episode Data Set Admissions (TEDS-A) from year 2020 (n = 497,175). A was constructed model. demonstrated promising predictive performance MH SUD AUC 0.817, Accuracy 0.751, Precision 0.743, Recall 0.926 F1 Score 0.825. accurate prediction models can substantially facilitate prompt identification implementation intervention strategies.

Language: Английский

Citations

5

US trends in the association of suicide ideation/behaviors with marijuana use among adolescents ages 12–17 and differences by gender and race/ethnicity DOI Creative Commons
Michael Flores,

Saul Granados,

Benjamin Lê Cook

et al.

Frontiers in Psychiatry, Journal Year: 2023, Volume and Issue: 13

Published: Jan. 5, 2023

In the US over past decade, there has been a steady increase in marijuana use rates among adolescents, part due to legalization laws. It is unknown whether these greater are associated with rising of adolescent suicide ideation and behaviors (plan attempt) or associations differ by gender race/ethnicity.To determine ideation/behaviors adolescents if differences exist race/ethnicity.Using 2015-2019 National Surveys on Drug Use Health, we assessed relationship between frequency (12-17, n = 73,986). We also examined association disorder (MUD) race/ethnicity. Marijuana year was categorized as no use, non-weekly weekly-plus use. estimated multivariable logistic regression models, adjusting for sociodemographics, health status, common co-occurring behavioral disorders, criminal history. For interpretability, coefficients were converted into predicted probabilities using predictive margin methods.In primary analyses, had higher any ideation, 61.5% (+ 10.4 percentage-points; 95% CI: 7.0-13.8%) 64.5% 13.4 9.1-17.7%), relative (51.1%). Non-weekly plan 58.2% 11.8 7.8-16.0%) 59.0% 12.6 6.4-18.9%), attempt, 42.0% 11.6 7.0-16.2%) 47.3% 16.9 10.9-22.9%) compared (46.4 30.4%, respectively). Similar results found MUD (all p < 0.05). Positive persisted males females well White, Black, Latinx 0.05).Between 2015 2019, increased that used marijuana. As legalized more states, public efforts needed curb increases better understand causal linkages ideation/behaviors.

Language: Английский

Citations

9

Differential Mechanisms of Behavior Change in Cannabis Use Disorder Treatments: Functional Improvements and Clinical Implications DOI
Bryant M. Stone, Kevin M. Gray, Rachel L. Tomko

et al.

International Journal of Mental Health and Addiction, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 24, 2024

Language: Английский

Citations

3

Associations Between Cannabis-Related Hospital Visits and Psychotic Disorder-Related Hospital Visits in Arizona from 2016-2022 DOI

Amanda M. Colby,

Sivan Barashy,

Matt L. Miller

et al.

Drug and Alcohol Dependence, Journal Year: 2025, Volume and Issue: 273, P. 112717 - 112717

Published: May 20, 2025

Language: Английский

Citations

0

The moderating role of sex in the relationship between cannabis use treatment admission profile and treatment processes and outcomes: A gender perspective DOI
Daniel Dacosta‐Sánchez, Yanina Michelini, Angelina Pilatti

et al.

Addictive Behaviors, Journal Year: 2024, Volume and Issue: 157, P. 108103 - 108103

Published: July 14, 2024

Language: Английский

Citations

2

Clinical, Cognitive, and Neurobiological Correlates of Impaired Timing Abilities Associate to Cannabis Use: a Systematic Review DOI Creative Commons
Andrea Escelsior, Alice Trabucco,

Manfredo Radicati

et al.

International Journal of Mental Health and Addiction, Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 29, 2023

Abstract Time perception received growing interest in psychiatry for its psychopathological implications. Cannabis use can cause a subjective experience of temporal alteration and increases the risk emergence mental illnesses such as psychotic mood disorders. In this framework, we systematically reviewed findings regarding clinical, cognitive, neurobiological correlates time alterations due to cannabis consumption. According preclinical results, exerts dose-dependent overestimation, associated with motor inhibition circadian alterations. Clinical results reported that impair estimation reproduction abilities, causing fragmentation depersonalization symptoms. The timing mediated by might depend on dopaminergic indirect action structural, functional, metabolic cerebello-thalamo-cortical circuit. Despite potential interest, however, only few studies explored link between cannabis-induced processing psychiatric

Language: Английский

Citations

2

Long-lasting behavioral, molecular and functional connectivity alterations after chronic exposure to THC in adolescent mice DOI
Ester Aso, Laura Gómez-Acero, Federico Varriano

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 17, 2024

Abstract Heavy and daily use of cannabis with high contents Δ9-tetrahydrocannabinol (THC) during adolescence is associated an increased risk developing psychotic disorders later in life. Here, we have generated a mouse model THC exposure that exhibits impairments social interaction vulnerability to develop sensorimotor gating deficiencies comparable those previously described among heavy consumers. Importantly, provide evidence on long-term cortico-striatal dysconnectivity induced by its correlation impaired interactions occurring adulthood. Moreover, observed long-lasting molecular alterations key elements regulate the mesolimbic dopaminergic system, namely balance between dopamine D2, adenosine A2A, cannabinoid CB1 receptors striatum treated mice. Together, these findings contribute better understanding neurobiological bases deleterious effects abuse point D2R, A2AR CB1R equilibrium as potential target reverse or prevent effects.

Language: Английский

Citations

0