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Biomedical subjects

G M Simpson

Publications and source records attributed to G M Simpson.

At least 163 records · Page 9Linked to original sources

A sensitive method for the determination of amitriptyline and nortriptyline in human plasma.

A highly sensitive and reproducible GLC technique for the quantitation of amitriptyline and nortriptyline is described. The lower limit of detection is less than 1 ng/ml. 5 ng/ml samples (3 ml aliquots) can be accurately quantified (C of V less than 5%). Steady state data are reported together with data on amitriptyline and nortriptyline levels obtained in a volunteer who ingested a single oral dose (25 mg) of amitriptyline (Elavil).

Adult↗

Butaperazine pharmacokinetics. Effect of dosage regimen on steady state blood levels.

Experimental evidence showed that a higher whole blood steady state drug plasma level was achieved when a patient was given medication three times a day compared to the same total daily dose once a day. In addition, evidence indicated possible enzyme induction by butaperazine in one patient. We have demonstrated that the general stochastic theory developed to investigate the pharmacokinetics of lithium carbonate "in vivo" has more general applicability in that it applies also to butaperazine, and facilitates interpretation of findings (without blood level data) in one other drug study.

Administration, Oral↗

Lithium kinetics in man: effect of variation in dosage pattern.

1. Utilizing a general stochastic theory of drug kinetics we have demonstrated that from the serum concentration curve derived from a single dose of lithium, it is possible to predict the steady state concentration, the time required to reach steady state, the dependency of these quantities on the time interval between drug administrations and the fluctuations in plasma level under steady state conditions.2. It has been shown in general that the more frequently the drug is administered the higher is the steady state level, the shorter is the time required to reach steady state, and the smaller are the fluctuations.

Biopharmaceutics↗