ReviewIndian journal of psychiatry2018
Cognitive behavioural interventions in addictive disorders.
Review in Indian journal of psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Family-centered interventions for people with substance use disorders in low-and middle-income country settings: a scoping review.The International journal on drug policy · 2026Article
- Case management of ultra-processed food addiction: a theoretical perspective.Frontiers in public health · 2026Review
- Analysis of Phubbing Among University Students: A Study of Its Prevalence, Incidence Factors and Predictors.European journal of investigation in health, psychology and education · 2025Article
- Review of Studies Regarding Assessment of Families Where Children Are at Risk of Harm Due to Parental Substance Misuse.International journal of environmental research and public health · 2025Review
- Article
- An Overview of the Expert Consensus on the Prevention and Treatment of Gaming Disorder in China (2019 Edition).Neuroscience bulletin · 2020Article
- Understanding social media addiction through Ayurveda, Yoga, and Neuroscience: A narrative review anchored in Indian Knowledge Systems.Journal of Ayurveda and integrative medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive behaviour therapy is a structured, time limited, psychological intervention that has is empirically supported across a wide variety of psychological disorders. CBT for addictive behaviours can be traced back to the application of learning theories in understanding addiction and subsequently to social cognitive theories. The focus of CBT is manifold and the focus is on targeting maintaining factors of addictive behaviours and preventing relapse. Relapse prevention programmes are based on social cognitive and cognitive behavioural principles. Interventions for preventing relapse include, behavioural strategies to decrease the valence of addictive behaviours, coping skills to deal with craving, arousal, negative mood states, assertiveness skills to manage social pressures, family psychoeducation and environmental manipulation and cognitive strategies to enhance self-efficacy beliefs and modification of outcome expectancies related to addictive behaviours. More recent developments in the area of managing addictions include third wave behaviour therapies. Third wave behaviour therapies are focused on improving building awareness, and distress tolerance skills using mindfulness practices. These approaches have shown promise, and more recently the neurobiological underpinnings of mindfulness strategies have been studied. The article provides an overview of cognitive behavioural approaches to managing addictions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.