Literature DB >> 22311668

Preliminary efforts directed toward the detection of craving of illicit substances: the iHeal project.

Edward W Boyer1, Rich Fletcher, Richard J Fay, David Smelson, Douglas Ziedonis, Rosalind W Picard.   

Abstract

Many behavioral interventions, whether for the management of chronic pain, overeating, medication adherence, or substance abuse, are ineffective outside of the clinic or office environments in which they are taught. This lack of utility has spawned interest in enabling technologies that are capable of detecting changes in affective state that potentially herald a transition to risky behaviors. We have therefore undertaken the preliminary development of "iHeal", an innovative constellation of technologies that incorporates artificial intelligence, continuous biophysical monitoring, wireless connectivity, and smartphone computation. In its fully realized form, iHeal can detect developing drug cravings; as a multimedia device, it can also intervene as the cravings develop to prevent drug use. This manuscript describes preliminary data related to the iHeal Project and our experience with its use.

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Year:  2012        PMID: 22311668      PMCID: PMC3550228          DOI: 10.1007/s13181-011-0200-4

Source DB:  PubMed          Journal:  J Med Toxicol        ISSN: 1556-9039


  10 in total

1.  An analysis of cue reactivity among persons with and without schizophrenia who are addicted to cocaine.

Authors:  David A Smelson; Miklos F Losonczy; Chris Kilker; Aron Starosta; Jacob Kind; John Williams; Douglas Ziedonis
Journal:  Psychiatr Serv       Date:  2002-12       Impact factor: 3.084

2.  Importance of substance cues in relapse among heroin users: comparison of two methods of investigation.

Authors:  N Heather; A Stallard; J Tebbutt
Journal:  Addict Behav       Date:  1991       Impact factor: 3.913

3.  Introduction to the special section on M-Health: beyond seamless mobility and global wireless health-care connectivity.

Authors:  Robert Istepanian; Emil Jovanov; Y T Zhang
Journal:  IEEE Trans Inf Technol Biomed       Date:  2004-12

4.  Suppression of cue-induced heroin craving and cue-reactivity by single-trial transcutaneous electrical nerve stimulation at 2 Hz.

Authors:  Fei Zhong; Liu-Zhen Wu; Ji-Sheng Han
Journal:  Addict Biol       Date:  2006-06       Impact factor: 4.280

5.  The efficacy of olanzapine for decreasing cue-elicited craving in individuals with schizophrenia and cocaine dependence: a preliminary report.

Authors:  David A Smelson; Douglas Ziedonis; John Williams; Miklos F Losonczy; Jill Williams; Marc L Steinberg; Maureen Kaune
Journal:  J Clin Psychopharmacol       Date:  2006-02       Impact factor: 3.153

6.  Health-enabling technologies for pervasive health care: a pivotal field for future medical informatics research education?

Authors:  Reinhold Haux; Matthias Gietzelt; Nils Hellrung; Wolfram Ludwig; Michael Marschollek; Bianying Song; Klaus-Hendrik Wolf
Journal:  Stud Health Technol Inform       Date:  2009

7.  Risperidone diminishes cue-elicited craving in withdrawn cocaine-dependent patients.

Authors:  D A Smelson; A Roy; M Roy
Journal:  Can J Psychiatry       Date:  1997-11       Impact factor: 4.356

Review 8.  Wireless Technologies, Ubiquitous Computing and Mobile Health: Application to Drug Abuse Treatment and Compliance with HIV Therapies.

Authors:  Edward W Boyer; David Smelson; Richard Fletcher; Douglas Ziedonis; Rosalind W Picard
Journal:  J Med Toxicol       Date:  2010-06

9.  Cell phones for ecological momentary assessment with cocaine-addicted homeless patients in treatment.

Authors:  Michelle J Freedman; Kristin M Lester; Cecelia McNamara; Jesse B Milby; Joseph E Schumacher
Journal:  J Subst Abuse Treat       Date:  2006-03

10.  Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use.

Authors:  David H Epstein; Jessica Willner-Reid; Massoud Vahabzadeh; Mustapha Mezghanni; Jia-Ling Lin; Kenzie L Preston
Journal:  Arch Gen Psychiatry       Date:  2009-01
  10 in total
  25 in total

1.  Emerging drugs of abuse: what was new yesterday is new today.

Authors:  Mark B Mycyk
Journal:  J Med Toxicol       Date:  2012-03

Review 2.  Mechanisms of change associated with technology-based interventions for substance use.

Authors:  Jesse Dallery; Brantley Jarvis; Lisa Marsch; Haiyi Xie
Journal:  Drug Alcohol Depend       Date:  2015-03-12       Impact factor: 4.492

3.  Wearable Biosensors to Detect Physiologic Change During Opioid Use.

Authors:  Stephanie Carreiro; Kelley Wittbold; Premananda Indic; Hua Fang; Jianying Zhang; Edward W Boyer
Journal:  J Med Toxicol       Date:  2016-06-22

Review 4.  Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research.

Authors:  Jeremiah W Bertz; David H Epstein; Kenzie L Preston
Journal:  Addict Behav       Date:  2017-11-16       Impact factor: 3.913

5.  Automatic Detection of Opioid Intake Using Wearable Biosensor.

Authors:  Md Shaad Mahmud; Hua Fang; Honggang Wang; Stephanie Carreiro; Edward Boyer
Journal:  Int Conf Comput Netw Commun       Date:  2018-06-21

6.  Real-time mobile detection of drug use with wearable biosensors: a pilot study.

Authors:  Stephanie Carreiro; David Smelson; Megan Ranney; Keith J Horvath; R W Picard; Edwin D Boudreaux; Rashelle Hayes; Edward W Boyer
Journal:  J Med Toxicol       Date:  2015-03

7.  Identifying Drug (Cocaine) Intake Events from Acute Physiological Response in the Presence of Free-living Physical Activity.

Authors:  Syed Monowar Hossain; Amin Ahsan Ali; Mahbubur Rahman; Emre Ertin; David Epstein; Ashley Kennedy; Kenzie Preston; Annie Umbricht; Yixin Chen; Santosh Kumar
Journal:  IPSN       Date:  2014

8.  A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior.

Authors:  Jesse Dallery; Allison Kurti; Philip Erb
Journal:  Behav Anal       Date:  2014-08-23

9.  Ingestible Biosensors for Real-Time Medical Adherence Monitoring: MyTMed.

Authors:  Peter R Chai; Rochelle K Rosen; Edward W Boyer
Journal:  Proc Annu Hawaii Int Conf Syst Sci       Date:  2016-01

10.  Modeling Physiological Data with Deep Belief Networks.

Authors:  Dan Wang; Yi Shang
Journal:  Int J Inf Educ Technol       Date:  2013
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