Effect of a selective dopamine D 1 agonist (ABT-431) on smoked cocaine self-administration in humans

1999 ◽  
Vol 143 (1) ◽  
pp. 102-110 ◽  
Author(s):  
M. Haney ◽  
Eric D. Collins ◽  
Amie S. Ward ◽  
Richard W. Foltin ◽  
Marian W. Fischman
Keyword(s):  
Self Administration ◽  
Selective Dopamine

scholarly journals Lack of abuse potential in a highly selective dopamine D3 agonist, PF-592,379, in drug self-administration and drug discrimination in rats

2012 ◽  
Vol 23 (3) ◽  
pp. 280-291 ◽  
Author(s):  
Gregory T. Collins ◽  
Paul Butler ◽  
Chris Wayman ◽  
Sian Ratcliffe ◽  
Paul Gupta ◽  
...  
Keyword(s):  
Drug Discrimination ◽  
Abuse Potential ◽  
Self Administration ◽  
Dopamine D3 ◽  
Selective Dopamine

Effects of ecopipam, a selective dopamine D1 antagonist, on smoked cocaine self-administration by humans

2001 ◽  
Vol 155 (4) ◽  
pp. 330-337 ◽  
Author(s):  
Margaret Haney ◽  
Amie Ward ◽  
Richard Foltin ◽  
Marian Fischman
Keyword(s):  
Self Administration ◽  
Dopamine D1 Antagonist ◽  
Selective Dopamine

scholarly journals The effects of two highly selective dopamine D3 receptor antagonists (SB-277011A and NGB-2904) on food self-administration in a rodent model of obesity

2008 ◽  
Vol 89 (4) ◽  
pp. 499-507 ◽  
Author(s):  
Panayotis K. Thanos ◽  
Michael Michaelides ◽  
Christopher W. Ho ◽  
Gene-Jack Wang ◽  
Amy H. Newman ◽  
...  
Keyword(s):  
Rodent Model ◽  
Dopamine D3 Receptor ◽  
D3 Receptor ◽  
Self Administration ◽  
Receptor Antagonists ◽  
Dopamine D3 ◽  
Selective Dopamine

Selective dopamine antagonists reduce nicotine self-administration

1991 ◽  
Vol 104 (2) ◽  
pp. 171-176 ◽  
Author(s):  
William A. Corrigall ◽  
Kathleen M. Coen
Keyword(s):  
Dopamine Antagonists ◽  
Self Administration ◽  
Selective Dopamine

Collection of Ego-Centered Network Data with Computer-Assisted Interviews

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner
Keyword(s):  
Survey Methods ◽  
A Priori ◽  
Dynamic Structure ◽  
Computer Assisted ◽  
Network Data ◽  
Great Effort ◽  
Self Administration ◽  
Face To Face ◽  
Full Network

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.

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