PubMed Health⌕ Search

PubMed · 10932812

Central nervous system stimulants.

Abstract

Three major types of CNS stimulant are currently abused in sport: amphetamine, cocaine and caffeine. Each drug type has its own characteristic mechanism of action on CNS neurones and their associated receptors and nerve terminals. Amphetamine is widely abused in sports requiring intense anaerobic exercise where it prolongs the tolerance to anaerobic metabolism. It is addictive, and chronic abuse causes marked behavioural change and sometimes psychosis. Major sports abusing amphetamine are cycling, American football, ice-hockey and baseball. Cocaine increases tolerance to intense exercise, yet most of its chronic effects on energy metabolism are negative. Its greatest effects seem to be as a central stimulant and the enhancement of short-term anaerobic exercise. It is highly addictive and can cause cerebral and cardiovascular fatalities. Caffeine enhances fatty acid metabolism leading to glucose conservation, which appears to benefit long-distance endurance events such as skiing. Caffeine is also addictive, and chronic abuse can lead to cardiac damage. Social abuse of each of the three drugs is often difficult to distinguish from their abuse in sport.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

A J George. 2000. Central nervous system stimulants.. https://doi.org/10.1053/beem.2000.0055

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The crystal structure of anhydrous beta-caffeine as determined from X-ray powder-diffraction data.

The crystal structure of the low-temperature form of anhydrous caffeine has been determined by using X-ray powder-diffraction data with a combined simulated-annealing/Rietveld method. Anhydrous caffeine crystallizes with five crystallographically independent molecules in a monoclinic C-centred unit cell with dimensions of a=43.0390(17), b=15.0676(6) and c=6.95314(14) A and a beta angle of 99.027(2) degrees.

Caffeine↗

Variability in human skin permeability in vitro: comparing penetrants with different physicochemical properties.

Appreciating and compensating for the inherent variability associated with percutaneous absorption is essential in optimizing (trans)dermal therapy. In this study, the variability in human skin permeability associated with model penetrants of differing lipophilicity (caffeine (CF), methyl paraben (MP), and butyl paraben (BP)) was examined in a standardized intra-laboratory study (Franz cell experiments) using epidermal tissue from various donors. Experimentally derived permeability coefficients (K(P)) were also compared to that derived from two skin permeation models namely, Potts & Guy and Robinson (revised) models in order to further validate the Franz diffusion method employed and also elucidate the potential permeation pathway(s) employed by the model penetrants. Intra-subject variability associated with skin permeation of the model penetrants was generally found to be lower than inter-subject variability. Experimental K(P) values were found to be the same order of magnitude as predicted by the mathematical models. Calculated residual variance suggested the Potts and Guy's model to be relatively accurate in predicting skin permeability of the two parabens whilst the Robinson (revised) model was more effective for CF. The high variability in CF permeation compared to the parabens may suggest the in vitro skin permeation of solutes becomes more sensitive to intra- and/or inter-subject variation in skin lipid content, appendageal density, and imperfections (pores, cracks) as the hydrophilic nature of the solute increases. Such variability in skin permeability suggests a difference in CF permeation kinetics relative to the parabens. As such when performing in vitro drug permeation studies, it is essential that the variability in the absorption of the model permeants, according to their physicochemical properties, is considered when they are used to normalize or standardize any resulting data.

Caffeine↗