The analysis revealed a rapid acceleration in scholarly output, with a compound annual growth rate of 140%, driven by advancements in models such as GPT-3 and GPT-4, alongside strategic funding and industry initiatives.
Abstract
Background Mental health disorders constitute a critical global health challenge, accounting for nearly 30% of the worldwide non-fatal disease burden and resulting in annual productivity losses exceeding $1 trillion. Despite increased awareness and investment, significant barriers, such as limited access to care, societal stigma, and a shortage of trained professionals, continue to obstruct effective service delivery. Recently, LLMs have emerged as transformative tools in mental health research and practice, offering potential applications in diagnostics, therapeutic support, and patient engagement. Objectives This study aims to provide comprehensive bibliometric analysis of research on LLMs in mental health from 2020 to 2025. Specifically, it examines publication growth and temporal trends to capture the evolution of scholarly interest, assesses country- and institution-level contributions to highlight geographic and organizational patterns, and analyzes the distribution of publications across key academic sources. In addition, the study explores prevailing research themes and their evolution over time through keyword analysis and conceptual mapping. Methods To ensure comprehensive coverage of the literature, searches were conducted across seven major sources: Web of Science, Scopus, PubMed, Dimensions, OpenAlex, Lens, and the Cochrane Library. The combined datasets comprised 426 articles, which provided a foundation for subsequent analyses. A bibliometric approach was then employed to analyze the collected data, focusing on publication trends, collaboration networks, and thematic evolution within the field. Results The analysis revealed a rapid acceleration in scholarly output, with a compound annual growth rate of 140%, driven by advancements in models such as GPT-3 and GPT-4, alongside strategic funding and industry initiatives. The geographic distribution of research demonstrated a significant imbalance, with high-income countries, particularly the United States, dominating the field, while low- and middle-income countries were underrepresented. Thematic evolution showed a transition from foundational research (2020–2022) to applied studies with emerging topics including chatbots, multilingual models, and therapeutic applications. Conclusions The findings underscore the need for more inclusive and globally integrated research efforts to fully realize the potential of LLMs in mental health care. Future research must prioritize equity, strengthen pathways for clinical translation, and develop robust ethical and evaluation frameworks. Policymakers, funders, and clinicians must champion interdisciplinary, ethically guided research to ensure the safe, effective, and socially responsible integration of LLMs into mental health systems.
Long COVID is frequently associated with neuropsychiatric symptoms, including depression, anxiety, and fatigue, which can substantially impair daily functioning and place a considerable burden on healthcare systems worldwide. Although research in this area is expanding rapidly, no comprehensive bibliometric synthesis has characterized the field’s conceptual shifts, critical knowledge gaps, and emerging research directions. This study aimed to map the intellectual evolution and current landscape of research on Long COVID and mental health to inform future clinical and scholarly efforts.
We conducted a bibliometric analysis of publications indexed in the Web of Science Core Collection from January 1, 2019, to July 20, 2025. The search strategy combined terms related to Long COVID and mental health. Following title and abstract screening, 1,464 eligible articles were analyzed using CiteSpace for burst detection and timeline visualization, VOSviewer for network mapping of countries, institutions, authors, and keywords, and Excel for trend analysis. Inclusion criteria required original research or reviews published in English.
Annual publication output increased rapidly, with growth beginning to level off after 2023. The United States and England accounted for the largest shares of publications. However, citation impact was not directly proportional to publication volume, highlighting the importance of highly influential institutional research hubs. The core journals spanned clinical medicine and public health, reflecting the interdisciplinary nature of the field. Thematic analyses showed that research fronts have expanded beyond depression and anxiety to include neurocognitive impairment, neuroinflammatory mechanisms, and the psychosocial consequences of prolonged disability.
This is the systematic bibliometric analysis to map the intellectual structure and thematic evolution of research on Long COVID and mental health. The field has progressed from broad descriptions of psychological distress to syndrome-specific, mechanistic, and interventional investigations, providing a framework for future research priorities. Depression, anxiety, and fatigue remained central research themes, reflecting their persistent clinical burden and continued importance as research priorities.
Mental health disorders represent a major global challenge, driving demand for scalable, evidence based strategies in early diagnosis, prevention, and population surveillance. Business intelligence (BI) research in this domain remains conceptually and methodologically fragmented, impeding interdisciplinary synthesis. This study investigates: the main themes in BI applications for mental health and healthcare over the past 30 years; patterns within and across abstracts of BI relevant articles, including integration potential; and themes with the strongest citation. By doing so, we contribute to health marketing scholarship by synthesizing fragmented BI applications into a Service-Dominant Logic SDL informed, market-shaping intelligence perspective. This reframing is an interpretive synthesis: it is informed by the STM findings and developed through their integration with established health marketing theory, rather than being a direct empirical output of the topic model. Using structural topic modeling (STM) on 2,227 peer reviewed articles from the Web of Science Core Collection (1990-2025), after PRISMA based screening of 20,634 records, the analysis reveals 20 latent topics that trace the evolution of BI, data mining, and dashboard analytics in mental health. We contribute to the literature by offering a novel perspective on Business Intelligence in health marketing, showing how fragmented analytical streams can be synthesized into a Service Dominant Logic informed Mental Health Intelligence Platform under conditions of interdisciplinary fragmentation and temporal evolution Results reveal a shift from individual psychological foci toward systemic, computational approaches underpinning Mental Health Intelligence Platforms (MHIPs). This study outlines a research agenda for empirically evaluating Mental Health Intelligence Platform MHIP designs in future health marketing research.
Omar Alsodi, Mohammad Alhur, Nicholas Grigoriou et al.· Health Marketing Quarterly· 0 citations
Introduction: Mental health has become a major global public health concern due to its increasing prevalence and its profound social, economic, and healthcare consequences. Although the volume of mental health research has expanded substantially, evidence remains fragmented across disciplines, populations, and thematic areas. This systematic review aimed to map the global landscape of mental health research by identifying emerging trends, key determinants, health policy implications, and future research directions.
Research Methodology: A systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Literature searches were performed in PubMed, Scopus, Web of Science, and Google Scholar for studies published between 2020 and 2025. After duplicate records were removed and eligibility was assessed, 100 studies met the inclusion criteria and were included in the final synthesis. Data were extracted using a standardized form and analyzed through narrative thematic synthesis.
Results: From 1,450 records initially identified, 100 studies were included in the final review. The findings revealed four dominant research themes: social and economic determinants (28%), environmental factors (19%), digital technology and mental health (17%), and health policy and service delivery (12%). Socioeconomic disadvantage, housing insecurity, limited social support, and educational and occupational stress emerged as the most frequently reported risk factors. Access to green spaces and community support were consistently associated with improved psychological well-being. The review also identified a growing interest in digital mental health interventions and artificial intelligence applications, while highlighting persistent gaps in policy implementation and equitable access to mental health services.
Conclusion: Mental health outcomes are shaped by interconnected social, environmental, technological, and policy-related factors. Effective responses require integrated and multisectoral strategies that address structural determinants while strengthening mental health systems. Future policies should prioritize equitable access to services, community-based interventions, and evidence-informed decision-making to improve mental health outcomes globally
The World Health Organization (WHO) defines mental health not merely as the absence of disorder, but as a state of well-being that enables individuals to cope with life’s stresses, work productively, and contribute to their community. Climate change threatens this capacity in ways that the empirical literature has increasingly documented, although often through small and geographically biased samples. This systematic review aimed to synthesize the evidence on the impact of climate change on mental health. The review was conducted in accordance with the PRISMA 2020 guidelines. The search was con-ducted in September 2024 across five databases – Web of Science (WoS), Scopus, PubMed, SciELO, and Google Scholar – using nine search queries combined with AND/OR operators. Of 436 records identified, 213 met the inclusion criteria. The direction of evidence was classified into four categories. The methodological quality of the 42 eligible secondary studies was assessed using AMSTAR-2. 59.2% of studies reported positive associations. Positive convergence was highest for suicid-al behavior (80%), post-traumatic stress disorder (PTSD) (75.7%), and cognitive outcomes (71.9%). 40.5% of secondary stud-ies reached high or moderate confidence on AMSTAR-2. The association exists but is not uniform. Suicidal behavior, PTSD, and cognitive deterioration show high convergence and identifiable mechanisms; eco-anxiety and well-being show moderate convergence and a conceptual complexity that is not adequately captured. Radical behaviorism provides a functional frame-work for understanding how climate-related mental health deterioration may occur through the extinction or suppression of adaptive behavioral repertoires and chronic negative reinforcement, while also informing potential intervention targets be-yond symptom-focused treatment.
D. Arboleda, Sandra Arboleda, Laura Salazar et al.· Health Psychology Report· 1 citation
Background
Mental health disorders represent one of the leading causes of disability worldwide and continue to place substantial pressure on healthcare systems. Despite growing awareness of mental illness and increasing demand for services, significant barriers to psychiatric care remain, including workforce shortages, geographical inequities, financial constraints, and persistent stigma. Telepsychiatry, defined as the delivery of psychiatric services through telecommunications technologies, has emerged as a promising strategy to address these challenges. Although telepsychiatry has been utilized for several decades, its adoption accelerated dramatically during the COVID-19 pandemic, prompting renewed interest in its long-term role within mental healthcare systems.
Objective
This review examines the efficacy of telepsychiatry in digital mental health interventions for the general population, focusing on clinical outcomes, patient satisfaction, accessibility, economic implications, implementation barriers, and future directions.
Methods
A structured review of the literature was undertaken using major electronic databases, including PubMed, PsycINFO, Embase, Scopus, and Google Scholar. Studies published between 2010 and 2026 were examined. Priority was given to randomized controlled trials, cohort studies, systematic reviews, meta-analyses, and large observational investigations evaluating telepsychiatry interventions in community and general adult populations.
Results
The available evidence suggests that telepsychiatry produces clinical outcomes comparable to conventional face-to-face psychiatric care across a range of common mental health conditions, including depressive disorders, anxiety disorders, and stress-related disorders. High levels of patient satisfaction, improved access to specialist care, and potential reductions in healthcare costs have been consistently reported. Nevertheless, challenges relating to digital literacy, internet accessibility, privacy concerns, regulatory variation, and healthcare inequities remain important considerations.
Conclusion
Telepsychiatry has evolved from a supplementary service model into a fundamental component of contemporary mental healthcare delivery. Current evidence supports its effectiveness, acceptability, and scalability. Future success will depend upon addressing digital inequalities, strengthening regulatory frameworks, and integrating telepsychiatry into sustainable hybrid models of care.
A. Shishodia· Journal of Psychiatry and Ps...· 0 citations
As physical and mental health become more important in the workplace, employee relations have become an important part of an organization that affects the long-term health and productivity of its workers. This study will look at academic papers published between 2015 and 2025 and use a rigorous method to fully map and evaluate worldwide research contributions on employee well-being, mental health, and employee relationships. Research in PubMed and Scopus yielded 180 peer-reviewed papers in English, concentrating on research including participants aged 19 and above. A scientometric method was used to analyze trends in publications, prominent authors, leading journals, cooperation networks, keyword co-occurrence, and subject development. We used bibliometric tools, including citation, co-authorship, and co-word analyses, to identify the burgeoning research clusters and conceptual framework of the subject. Academic interest has grown consistently since 2018, according to studies. Governments and businesses are prioritizing workplace mental health. Psychosocial work environments, stress, work-life balance, business assistance, employee engagement, and leadership-employee mental health interactions are some of the primary topics. Keyword co-occurrence networks show that employee interactions affect mental health, demonstrating a transition from individualism to organizationalism. Interdisciplinarity in psychology, organizational behavior, public health, and HRM is growing. This study offers a detailed conceptual framework of the subject, aiding researchers in identifying significant works, prevailing themes, and neglected domains, including age-specific well-being issues and relational therapies for mental health improvement. The results highlight the strategic importance of fostering excellent employee interactions to enhance mental health and well-being, providing evidence-based guidance for organizational policymakers and HR professionals. This study provides a comprehensive and data-driven analysis of research trends over the last decade by including employee wellness, mental health, and employee relations within a scientometric framework.
N. Rath, Swati Sood, Tanaya Kar et al.· Training & Development Journ...· 0 citations
