Next Article in Journal
A Predictive Model Has Identified Tick-Borne Encephalitis High-Risk Areas in Regions Where No Cases Were Reported Previously, Poland, 1999–2012
Next Article in Special Issue
Suicide Precipitants Differ Across the Lifespan but Are Not Significant in Predicting Medically Severe Attempts
Previous Article in Journal
Public Health and Unconventional Oil and Gas Extraction Including Fracking: Global Lessons from a Scottish Government Review
Open AccessPerspective

Recent Advances in Attention Bias Modification for Substance Addictions

1
National Addictions Management Service, Institute of Mental Health, Singapore 539747, Singapore
2
Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 66308232, Singapore
3
National Healthcare Group, National Psychiatry Residency Program, Singapore 539747, Singapore
4
Department of Developmental Psychiatry, Institute of Mental Health, Singapore 539747, Singapore
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(4), 676; https://doi.org/10.3390/ijerph15040676
Received: 5 February 2018 / Revised: 21 March 2018 / Accepted: 2 April 2018 / Published: 4 April 2018
(This article belongs to the Special Issue Adult Psychiatry)
Research on attentional bias modification has increased since 2014. A recent meta-analysis demonstrates evidence for bias modification for substance disorders, including alcohol and tobacco use disorders. Several pharmacological trials have shown that pharmacological agents can attenuate and modify such attentional bias. The pharmacological trials that have appeared to date have produced mixed results, which has clinical implications. Developments in Internet and mobile technologies have transformed how attention bias modification is currently being achieved. There remains great potential for further research that examines the efficacy of technology-aided attention bias interventions. View Full-Text
Keywords: attention bias; attention bias modification; substance abuse; addiction; E-Health; M-Health attention bias; attention bias modification; substance abuse; addiction; E-Health; M-Health
MDPI and ACS Style

Zhang, M.W.; Ying, J.B.; Song, G.; Fung, D.S.S.; Smith, H.E. Recent Advances in Attention Bias Modification for Substance Addictions. Int. J. Environ. Res. Public Health 2018, 15, 676.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop