Abstract
Dear Editor,
The escalating prevalence of alcohol use disorder (AUD) has emerged as a significant public health concern, contributing to 5% of the global burden of disease and injury (World Health Organization, 2019). Interestingly, India presents a nuanced shift with a decline in the prevalence of AUD (male phenomenon) from 29% to 22%, according to National Family Health Survey data (Singh & Kumar, 2022). This decrease occurs against the backdrop of population growth amidst cultural dynamics, from alcohol being central to cultural and religious ceremonies – as an indicator of prestige, social status, heritage, tradition, and community identity – to complete prohibition, significantly influencing available coping mechanisms and support systems (Murthy, 2015). Thus, the existing treatment modalities, predominantly centered on pharmacotherapy and brief counseling sessions with less emphasis on comprehensive psychosocial support, community engagement, and long-term follow-up, offered by government-funded programs/private rehabilitation centers are often insufficient to address the intricate relationship between AUD and psychiatric comorbidities (Lohoff, 2022). This confirms the inadequacy of approaches that transcend the realm of conventional psychiatry, further exacerbated by the scarcity of resources and health infrastructure. These challenges, compounded by the cultural normalcy of alcohol consumption, lead to high rates of treatment dropout and relapse, serving as the breeding ground for a broad spectrum of health and social consequences, including suicide risks, liver cirrhosis, oral/liver cancer, interpersonal violence, crime, traffic injuries, and cardiovascular diseases, which, in extreme cases, result in mortality (Singh & Kumar, 2022). This necessitates re-evaluating the current therapeutic approaches and policies for AUD treatment in India (Nadkarni et al., 2023). Therefore, it is crucial to examine: How can treatment strategies be reshaped to confront the dual challenges posed by AUD and mental health disorders in a resource-constrained, multicultural, and densely populated context?
The possibilities of integrating technological advancements like artificial intelligence (AI) and machine learning (ML) into addiction psychiatry would be instrumental in providing personalized treatment, tailoring to individual genetic, environmental, and lifestyle factors through a multidisciplinary approach, incorporating insights from psychiatry, psychology, social work, sociology, and anthropology (Kurata et al., 2023). The potential of AI and ML in analyzing large repositories to examine the underlying causes of AUD, customizing person-centric treatment plans, and continuous real-time monitoring and treatment adjustment for enhancing the success rates in resource-limited countries like India, mandates a paradigm and pragmatic shift in AUD treatment (Joseph et al., 2024). However, a rigorous examination of the current technological infrastructure, digital literacy level, and mechanisms for government-private partnership is essential to acquire financial backing and policy endorsements to implement such interventions as pilot projects by advancing existing technologies and providing hybrid capacity-building training to stakeholders. It is proposed that AI and ML technologies can be initially deployed in urban and semi-urban areas with better digital infrastructure using a clear implementation roadmap – timeline, milestones, and matrix of success – and gradually implemented in rural areas by developing projects in collaboration with global healthcare organizations to provide sustainable, cost-effective AUD treatments.
Moreover, research should compare the outcomes of conventional and technologically enhanced AUD treatments in India, drawing the advantages and disadvantages observed in different contexts through literature by combining qualitative and quantitative research methods, including ethnographic studies, clinical trials, and surveys. Longitudinal studies are essential for evaluating the long-term outcomes of these therapeutic modalities. Nevertheless, practical implementation of these approaches requires synergic academic discussions and addressing the challenges ahead, particularly given the stigma associated with AUD, including balancing patient privacy and confidentiality, data handling and sharing, biases and errors in decision-making while relying on technology, the cultural implications, and addressing the risks of involuntary treatments and medication-assisted therapies. Therefore, this letter calls on the global research community to undertake a comprehensive research initiative to shape the future mental health framework in developing countries like India.
