AIM: To set up a new method for designing and quantitatively analyzing drug
compatibility. METHODS: Drugs for compatibility were divided into 6 dose l
evels which were evenly distributed to 6 compound groups according to a fix
ed design. A new mathematical model was set up to fit the dose-effect data
of 6 groups. The coefficients, obtained from the model, reflected the dose-
effect relationship and the important degree of every drug in combination.
According to the coefficients, the drugs in compatibility could be distingu
ished into principal drug, synergist, inferior, antagonist, and assistant.
Because compatibility in the maximal effect group was nearly (or was) an op
timal one in 6 groups, the doses in the group were taken as a base for furt
her modification which considered interaction among drugs. The results of t
he modification were demonstrated by further experiment. This method was ap
plied to design and to quantitatively analyze the compatibility of allantoi
n, metronidazole, and dexamethasone sodium phosphate by 2 effect indices in
mice. RESULTS: This new method was able to effectively determine important
degree of drugs in combination, and to optimize their doses for designing
compatibility. CONCLUSION: This weighted modification method is a highly ef
ficient, accurate, and practical means for designing and quantitatively ana
lyzing drug compatibility.