Evidence map›Paper›PMID 41702252›Full record

ReviewJournal of Ayurveda and integrative medicine

Understanding social media addiction through Ayurveda, Yoga, and Neuroscience: A narrative review anchored in Indian Knowledge Systems.

Divyansh Pandey, Arnav Bhavsar, Alok Bajpai

Abstract readReview
In one paragraph

Review in Journal of Ayurveda and integrative medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Divyansh PandeyIndian Knowledge System of Mental Health Applications, IIT Mandi, HP, 175005, India. Electronic address: d22165@students.iitmandi.ac.in.
Arnav BhavsarIndian Knowledge System of Mental Health Applications, IIT Mandi, and School of Computing and Electrical Engineering, IIT Mandi, HP, 175005, India.
Alok BajpaiConsultant Psychiatry, Indian Institute of Technology Kanpur, Kanpur, 208016, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social Media Addiction (SMA), a pervasive behavior disorder of the modern digital age, particularly in youth, is characterized by compulsive internet use and disrupted cognitive control. This narrative review integrates evidence from modern neuroscience and ancient Indian mind-body knowledge systems, namely Ayurveda, Yoga, and spiritual scripture on the basis of the Bhagavad Gita, Katha Upanishad, Charak Samhita, and Yoga Sutras. Databases such as PubMed, Google Scholar, Scopus, and JSTOR were searched using keywords such as "social media addiction," "Neurobiological mechanisms," "Ayurveda," "Indian Knowledge Systems," and "Yoga and mindfulness,". PRISMA-based screening of the studies was conducted for the period 1994-2024. Included peer-reviewed articles were thematically categorized into neuroscience-based mechanisms of SMA, mind-body interventions (Yoga, mindfulness), and Ayurvedic models (Pradnyaparadh, Triguna, Satvavajaya Chikitsa, and Medhya Rasayana). This transdisciplinary overview illustrates the potential of integrative approaches that align neuroplastic techniques with culture-informed models of therapeutics. The aim is to comprehend how neurobiological processes like compromised executive function, reward sensitivity, and brain development intersect with ancient Indian mind-body balance systems, moral living, and mental self-regulation. By considering empirical neuroscience as well as established frameworks in Indian medicine and philosophy, it suggests an improved, holistic approach to understanding and treating social media addiction.

Indexed as

AyurvedaIndian knowledge systemsNeurobiological mechanismsSocial media addictionYoga and mindfulness

Identifiers

PMID41702252
PMCPMC12924122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.