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CPDD 78th Annual Scientific Meeting Program

2016-78th-CPDD-Program-Book-6-07-16FINAL

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Wednesday, June 15, 2016<br />

11:30 Age- and gender-specific impacts of social influences on last 30-day marijuana use<br />

J. E. Goldstick, Q. Epstein-Ngo, J. Heinze, H. Hsieh, M. Walton, R. Cunningham,<br />

M. Zimmerman, University of Michigan, Ann Arbor, MI<br />

11:45 Do as I say, not as I do: A unique social support network among women, but not men, seeking<br />

treatment for alcohol and drug use disorders<br />

D. Peyser, J. Buckman, L. Banu, M. Bates, Psychology, Rutgers University, Piscataway, NJ<br />

12:00 The social interactome of recovery: Network topology influences social media engagement<br />

W. K. Bickel 1 , A. Quisenberry 1 , P. Chandrasekar 2 , M. N. Koffarnus 1 , E. A. Fox 2 , C. Franck 2 ,<br />

1<br />

Addiction Recovery Research Center, Virginia Tech Carilion Research Institute,<br />

Roanoke, VA, 2 Virginia Tech, Blacksburg, VA<br />

Poster Session III<br />

(Lunch)<br />

Odd-numbered posters manned first hour;<br />

Even-numbered, second hour<br />

Set-up time begins Tuesday, 3 PM<br />

Must be removed by Wednesday 2:30 PM<br />

OPIOID TREATMENT<br />

1 Gender differences in timing of reminder messages for automated, CBT-based treatment for<br />

methadone<br />

D. M. Printz 1 , F. D. Buono 1 , D. P. Lloyd 2 , S. Reichin 2 , B. A. Moore 1 , 1 Psychiatry, Yale<br />

University, New Haven, CT, 2 APT Foundation, New Haven, CT<br />

2 Predicting craving and mood 90 minute into the future using GPS data<br />

W. J. Kowalczyk 1 , M. Tyburski 1 , M. Vahabzadeh 1 , J. Lin 1 , K. A. Phillips 1 , A. J. Milam 2 ,<br />

D. M. Furr-Holden 2 , M. Mezghanni 1 , D. H. Epstein 1 , K. L. Preston 1 , 1 NIDA, IRP,<br />

Baltimore, MD, 2 Johns Hopkins, Baltimore, MD<br />

3 Evaluation of tailored therapeutic recommendations to improve use of an automated telephonebased<br />

treatment for methadone<br />

D. P. Lloyd 1 , D. M. Printz 3 , F. D. Buono 3 , S. Reichin 1 , B. A. Moore 2 , 1 APT Foundation,<br />

New Haven, CT, 2 Psychiatry, Yale University School of Medicine, New Haven, CT,<br />

3<br />

Psychiatry, Yale University, New Haven, CT<br />

4 Finding a needle in the haystack: Using machine learning to predict overdose in opioid users<br />

B. S. Crosier 1 , J. Borodovsky 2 , P. Mateu-Gelabert 3 , H. Guarino 4 , 1 Center for Technology and<br />

Behavioral Health, Dartmouth College, West Windsor, VT, 2 Psychiatry, Dartmouth College,<br />

Hanover, NH, 3 NDRI, Inc., New York, NY, 4 National Development & Research Institutes,<br />

New York, NY<br />

5 Gender differences in methadone dose patterns and length of treatment in outpatient methadone<br />

maintenance treatment programs<br />

J. A. Frimpong 1 , K. Shiu 2 , T. D’Aunno 3 , H. Pollack 4 , P. Friedmann 5 , 1 Columbia University,<br />

New York, NY, 2 Sociomedical Sciences, Columbia University, New York, NY,<br />

3<br />

New York University, New York, NY, 4 University of Chicago, Chicago, IL,<br />

5<br />

Baystate Health, Springfield, MA<br />

6 Measuring circadian entrainment during outpatient opioid agonist maintenance<br />

J. W. Bertz 1 , D. H. Epstein 1 , M. Rea 2 , M. G. Figueiro 2 , G. Ward 2 , K. L. Preston 1 , 1 Clinical<br />

Pharmacology and Therapeutics Research Branch, NIDA Intramural Research <strong>Program</strong>,<br />

Baltimore, MD, 2 Lighting Research Center, Rensselaer Polytechnic Institute, Troy, NY<br />

76

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