Despite the pervasive nature of internet use among adolescents and young adults, there is not enough knowledge about whether and how involvement in social media influences substance use patterns and the risk of drug use-related problems. This study was conducted to examine the complex relationship between substance use-related social media engagement (viewing, liking, commenting, and posting the substance use-related social media content) and the drug use-related problem in adolescents from public perception. We surveyed to determine the perception of social media users regarding the association between substance use-related social media content and substance/drug abuse problems. An anonymous online questionnaire was conducted to collect the response from each participant. The response was generated after collecting the data from 126 users of mixed ages. The data was stringently analyzed, and the response was displayed in the form of bar charts. The primary findings indicated a significant relationship between drug/alcohol-related social media engagement and drug/alcohol-related problems. From public perception, a positive correlation was found between the engagement in the drug use-related content and drug use associated problems. However, further research is needed to determine the right direction of these associations that can provide substantiative solutions for numerous interventions aiming to prevent drug use-related adverse consequences.

Stigma surrounding drug addiction remains a critical barrier to effective treatment, significantly influencing healthcare access, patient engagement, and recovery outcomes. This study explores the multifaceted impact of stigma on individuals seeking help for substance use disorders (SUDs), with a focus on healthcare-related discrimination, internalized stigma, and structural barriers. Research indicates that negative perceptions among healthcare providers contribute to delayed treatment-seeking behaviors, reduced adherence to medication-assisted treatment (MAT), and increased relapse rates. Additionally, patients internalizing these societal judgments experience heightened psychological distress, social isolation, and decreased self-efficacy, further hindering their recovery process. To address these challenges, evidence-based strategies such as addiction medicine education, trauma-informed care, harm reduction approaches, and peer support models have been shown to effectively reduce stigma and improve treatment outcomes. Hospital administrators and nursing leaders play a critical role in fostering a culture of empathy, advocating for the reframing of addiction as a neuro-psycho-biological disease rather than a moral failing. Future research should explore digital mental health interventions, motivational interviewing techniques, and interdisciplinary collaboration to further dismantle stigma and enhance the effectiveness of addiction treatment programs. This study highlights the urgent need for systemic policy changes, targeted educational programs, and a shift in clinical attitudes to create a more inclusive and stigma-free healthcare environment. Through implementing these approaches, healthcare providers can ensure equitable access to treatment and improve long-term health outcomes for individuals with opioid use disorder (OUD) and other substance-related conditions.

Background: Electronic cigarette (e-cigarette) use is increasingly prevalent among youth and young adults, particularly college and university students. This is a population for whom e-cigarette use is not recommended due to potential health risks, including nicotine addiction and long-term respiratory effects. Social networks play a crucial role in shaping attitudes toward e-cigarettes and influencing use behaviors. However, the relative influence of different social ties—parents, siblings, and friends—on e-cigarette attitudes and use remains unclear. Objective: This study utilizes data from the SMOKES study to compare the influence of e-cigarette use within different social network sections—parents, friends, and siblings—on personal e-cigarette attitudes and use among college and university students. Methods: Using a cross-sectional survey of college and university students, we examined the associations between e-cigarette use within different social networks and individual e-cigarette attitudes and use. Multivariate regression models assessed the strength of these associations, adjusting for key demographic and behavioral covariates. Results: Findings indicate that among college and university students, the strongest influence on both e-cigarette attitudes and use comes from friends who use e-cigarettes. In contrast, parental and sibling e-cigarette use showed weak or non-significant effects. These results suggest that peer influence, rather than family influence, plays a dominant role in shaping e-cigarette-related behaviors and perceptions in young adults. Conclusion: This study underscores the importance of peer influence in e-cigarette uptake and attitudes among college and university students. Public health interventions aimed at reducing e-cigarette use in this population should consider targeting peer networks rather than focusing solely on family-based influences.

Background: Women have consistently shown lower quit rates in tobacco cessation programs compared to men. This gender disparity persists despite comprehensive interventions and access to cessation resources. While prior studies suggest that factors such as social support, chronic disease burden, and socioeconomic status may contribute to these differences, there is limited empirical evidence to confirm these mechanisms. Aims: This study aimed to investigate potential mechanisms underlying gender differences in quit rates in a tobacco cessation program, testing whether demographic, socioeconomic, health, or behavioral factors explain the observed disparities. Methods: Participants were assigned to one of three smoking cessation interventions: an in-person program (CEASE), a self-help approach, or an online/hybrid program. The main outcome measured was smoking abstinence, evaluated three months after the intervention. Secondary analyses explored whether demographic, socioeconomic, health, or tobacco use-related factors mediated the association between gender and quit rates. Results: Women had significantly lower quit rates than men (p < 0.01). This association remained significant after adjusting for demographic, socioeconomic, health, and addiction-related factors. While women reported higher social support and a higher prevalence of chronic cardiometabolic conditions, these factors did not explain the gender disparity in quit rates. Conclusions: Gender differences in quit rates persist despite controlling for known factors that could influence cessation success. Although women had higher social support, they had lower quit rate. Future research should explore unmeasured variables, such as psychological, biological, and structural influences, to develop more effective cessation strategies tailored for women.