Evidence map›Paper›PMID 15878149›Full record

ArticleBrain research. Brain research protocols2005

Real time computation of in vivo drug levels during drug self-administration experiments.

Vladimir L Tsibulsky, Andrew B Norman

Open access · greenAbstract read
In one paragraph

Article in Brain research. Brain research protocols, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Vladimir L TsibulskyDivision of Neuroscience, Department of Psychiatry, College of Medicine, University of Cincinnati, PO Box 670559, Cincinnati, OH 45267-0559, USA. vladimir.tsibulsky@uc.edu
Andrew B Norman
University of Cincinnati · USUniversity of Cincinnati Medical Center · US

Funding

PRE-CLINICAL ANIMAL TESTINGU19DA012043 · NIDA · UNIVERSITY OF CINCINNATI · PI NORMAN, ANDREW B · 1998 to 2003
$3.0M
A Human Antibody as an Immunotherapy for Cocaine AbuseR44DA018538 · NIDA · PHASE 2 DISCOVERY, INC. · PI NORMAN, ANDREW B · 2004 to 2009
$3.0M
Measurement of Priming and Satiety Thresholds in MiceR21DA014189 · NIDA · UNIVERSITY OF CINCINNATI · PI TSIBULSKY, VLADIMIR LVOVICH · 2001 to 2003
$459k
NIDA NIH HHS DA 12043NIDA NIH HHS DA 14189NIDA NIH HHS R21 DA014189NIDA NIH HHS R44 DA018538NIDA NIH HHS U19 DA012043
6 · The paper itself

Abstract

A growing body of evidence suggests that the drug concentration in the effect compartment of the body is the major factor regulating self-administration behavior. A novel computer-based protocol was developed to facilitate studies on mechanisms of drug addiction by determining correlations between drug levels and behavior during multiple drug injections and infusions. The core of the system is a user's program written in Medstate Notation language (Med-Associates, Inc.), which runs the self-administration session (with MED-PC software and hardware, Med-Associates, Inc.) and calculates the levels of infused and/or injected drugs in real time during the session. From the comparison of classical exponential and simple linear models of first-order kinetics, it is concluded that exponential solutions for the appropriate differential equations may be replaced with linear equations if the cycle of computation is much shorter than the shortest half-life for the drug. The choice between particular computation equations depends on assumptions about the pharmacokinetics of the particular drug: (i) one-, two- or three-compartment model, (ii) zero-, first- or second-order process of elimination, (iii) the constants of distribution and elimination half-lives of the drug are known or can be reasonably assumed, (iv) dependence of the constants on the drug level, and (v) temporal stability of all parameters during the session. This method of drug level computation can be employed not only for self-administration but also for other behavioral paradigms to advance pharmacokinetic/pharmacodynamic modeling.

Indexed as

PharmacokineticsSelf AdministrationAlgorithmsAnimalsBehavior, AnimalCocaineCocaine-Related DisordersComputer SystemsConditioning, OperantDose-Response Relationship, DrugMaleModels, StatisticalPharmaceutical PreparationsRatsRats, Sprague-DawleyRewardCocainePharmaceutical Preparations

Identifiers

PMID15878149
PMCPMC3017400
OpenAlexW1985527943

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.