Purpose: Self-medication (SM) using non-opioid analgesics (NOA) is contentious and increasingly recognized as a major public health concern with severe consequences, including masking of malignant and fatal diseases, risk of misdiagnosis, problems relating to over- and under-dosing, drug interactions, incorrect dosage, and choice of therapy. Herein, we aim to determine the prevalence of SM with NOA among pharmacy and medical students at Unaizah College, Qassim University, Saudi Arabia. Patients and Methods: A cross-sectional study using a validated self-administered questionnaire was conducted on 709 pharmacy and medicine students belonging to an age group of 21– 24 years from Unaizah Colleges. Data were statistically analyzed using SPSS version 21. Results: Of 709 participants, 635 responded to the questionnaire. Our results showed a prevalence percentage of 89.6% using self-medicated NOA for pain management. The most common factor leading to SM in NOA was the mild nature of the illness (50.6%), and headache/migraine (66.8%) was the dominant health problem. Paracetamol (acetaminophen, 73.7%) was the most commonly used analgesic, followed by ibuprofen (16.5%). The most common and reliable sources of drug information were pharmacists (51.5%). Conclusion: We observed a high rate of SM for NOA among undergraduate students. We believe that the adverse consequences of SM could be controlled through educational, regulatory, and administrative strategies by providing appropriate awareness sessions, and the role of pharmacists should be highlighted in preventing SM from NOA.

Background: Little is known regarding the post-dispensing storage conditions for pharmaceuticals in Saudi Arabia (SA). Most parts of the region are usually hot and humid, which could result in the decline of crucial performance parameters. Objective: To determine the prevalence of household drug storage habits in the population of Qassim, and to investigate their storage behaviors as well as knowledge and awareness of factors that may affect drug stability. Methods: A cross-sectional study was conducted using a simple random sampling technique in the Qassim region. Data were collected over a period of 3 months using a well-structured self-administered questionnaire and analyzed using SPSS version 23. Results: More than six hundred households from all regions of Qassim in SA participated in this study. Approximately 95% of the participants stored 1– 5 drugs at home. Analgesics and antipyretics were the highest household reported drugs (71.9%), with tablets and capsules dosage forms (72.3%). More than half of the participants (54.6%) stored drugs in their home refrigerators. Approximately 45% of the participants regularly checked the expiry dates of household drugs and immediately discarded them once their color changed. Only 11% of the participants shared drugs with others. We found that the number of drugs stored at home is heavily influenced by the number of family members in general and the number of members with medical issues in particular. Moreover, Saudi female participants with higher levels of education demonstrated better behaviors in terms of ensuring appropriate conditions for household drug storage. Conclusion: The majority of participants stored drugs in the home refrigerator or other easily accessible places, which may lead to toxicity or health risks, particularly for children. Therefore, population education and awareness programs should be implemented to raise awareness about the consequences of drug storage conditions in terms of the stability, efficacy, and safety of medications.

Lung cancer is the most common cause of cancer deaths worldwide, and lung adenocarcinoma (LUAD) is the most common histological subtype. However, the prognostic and predictive outcomes differ because of the heterogeneity of programmed cell death. The purpose of this work is to investigate and develop a cuproptosis-associated lncRNA-based LUAD prediction marker. We firstly performed bioinformatic analysis of the Cuprotosis database and The Cancer Genome Atlas (TCGA) database to obtain 19 cuprotosis-related gene datasets and transcriptional data for LUAD. Univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis were utilized to construct cuproptosis-associated lncRNA modes. LUAD patients were thus classified into high-risk and low-risk categories based on prognostic risk values, with a median of It acted as a boundary. Risk models were evaluated and validated using Kaplan-Meier analysis, principal component analysis (PCA), gene set enrichment analysis (GSEA) and nomograms. Utilizing the TCGA-LUAD dataset, we identified seven predicted cuproptosis-associated lncRNAs in tumor microenvironment to create the risk model. 95.54% (214/224) of high-risk category tumor samples included cuproptosis-associated gene alterations, compared to 85.65% (203/237) of low-risk category tumor samples, with TP53 accounting for the bulk of occurrences. According to these findings, risk value was superior to other clinical variables and tumor mutation burden as a predictor of 1-, 3-, and 5-year overall survival (OS). The predictive validity of the cuproptosis-associated lncRNA-based risk model for LUAD is high, and this may have implications for how lung cancer patients are treated individually.

Background: Diabetes mellitus is a major public health concern in Saudi Arabia, affecting approximately 18.3% of adults. Although over 95% of people in the Qassim region own smartphones, limited information exists regarding how and why patients with diabetes utilize digital health technologies. Objective: This study employed an extended Technology Acceptance Model (TAM) incorporating trust, privacy concerns, and self-efficacy to investigate the factors influencing digital health technology adoption among patients with diabetes in Qassim Unaizah, Saudi Arabia. Methods: A cross-sectional study was conducted from November 2025 to January 2026 following institutional review board approval. The quantitative phase utilized a structured survey (n = 203) measuring TAM constructs via validated 5-point Likert scales. Descriptive statistics, Pearson correlations, and one-way ANOVA were performed. Qualitative themes were derived from open ended responses to contextualize quantitative findings. Results: Most participants were male (62.6%), with a mean age of 47.2 years (SD ± 13.1). Smartphone ownership was nearly universal (99.5%), and 82.8% used blood glucose tracking applications. All TAM constructs exhibited significant positive correlations with behavioural intention (p < 0.001): attitude (r = 0.450), perceived usefulness (r = 0.438), self-efficacy (r = 0.394), trust (r = 0.379), ease of use (r = 0.340), and privacy concern (r = 0.309). Mean scores indicated strong acceptance: perceived usefulness (4.31, SD ± 0.39), behavioural intention (4.21, SD ± 0.44), and attitude (4.17, SD ± 0.42). Daily usage was reported by 63.1% of participants, 81.8% expressed satisfaction, and 63.1% reported that digital tools greatly improved their diabetes management. Privacy concerns were notably low (mean 1.70, SD ± 0.89, reverse-coded; Cronbach’s α = 0.921). Supplementary qualitative content analysis of optional open-ended comments (n = 40 respondents) identified six recurring topics: clinical utility, digital literacy, trust, data security awareness, patient empowerment, and social support. Conclusions: Patients with diabetes in Qassim Unaizah demonstrate substantial digital health adoption, predominantly driven by perceived usefulness, positive attitudes, and self-efficacy. The extended TAM effectively explains adoption within this Saudi Arabian context. Findings support interventions emphasizing clinical benefits, user friendly design, and trust building to optimize digital health utilization in diabetes care.