Product Images Sevoflurane

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 14 images provide visual information about the product associated with Sevoflurane NDC 0527-6123 by Lannett Company, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

structure0- - sevoflurane usp 1

structure0- - sevoflurane usp 1

figure8- - sevoflurane usp 10

figure8- - sevoflurane usp 10

figure9- - sevoflurane usp 11

figure9- - sevoflurane usp 11

figure10- - sevoflurane usp 12

figure10- - sevoflurane usp 12

container-lable-lannett - sevoflurane usp 13

container-lable-lannett - sevoflurane usp 13

This text appears to be a description of a medication called sevoflurane. It is a USP-certified inhalation anesthesia used for medical purposes. The typical dosage information is available in the insert provided with the product. The medication is manufactured by Shandong New Time Pharmaceutical Co., Ltd. in Feiian, Shandong, China. It is distributed in a 250 mL container by Lannett Company, Inc. based in Philadelphia, PA. The text also mentions that the medication should be stored between 15°C and 30°C (59°F to 86°F) according to USP guidelines. The information provided includes references to the product's code, NDC number, and a revision number.*

carton-lable-lannett - sevoflurane usp 14

carton-lable-lannett - sevoflurane usp 14

figure1- - sevoflurane usp 2

figure1- - sevoflurane usp 2

figure2- - sevoflurane usp 3

figure2- - sevoflurane usp 3

figure2a- - sevoflurane usp 4

figure2a- - sevoflurane usp 4

figure3-- - sevoflurane usp 5

figure3-- - sevoflurane usp 5

figure4- - sevoflurane usp 6

figure4- - sevoflurane usp 6

figure5- - sevoflurane usp 7

figure5- - sevoflurane usp 7

figure6- - sevoflurane usp 8

figure6- - sevoflurane usp 8

figure7- - sevoflurane usp 9

figure7- - sevoflurane usp 9

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.