Structural Formula For Gefitinib (Image 01)
Gefitinib Tablet, Coated
Product Images NDC 67184-0531
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Gefitinib (NDC 67184-0531). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Qilu Pharmaceutical Co., Ltd., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Gefitinib Tablets 250mg (30 tablets count bottle label)
Each tablet of Gefitinib contains 250 mg. The recommended dosage should be found in the accompanying Prescribing Information. It should be kept out of the reach of children and stored at temperatures between 20°C to 25°C. The manufacturer of the drug is Qilu Pharmaceutical (Hainan) Co., Ltd, located in China. The NDC number for the drug is 67184-0531-1 and the drug is available with a prescription, provided in a pack with 30 tablets. The Revision date for the drug is 0412018.*
Gefitinib Tablets 250mg (500 tablets count bottle label)
This is a description of Gefitinib Tablets, which come in a bottle of 500 tablets and each tablet contains 250mg of Gefitinib. It is a prescription medication to be taken as directed in the accompanying Prescribing Information. The manufacturer is Qilu Pharmacetical from Hainan, China. The medication should be stored at controlled room temperature and out of reach of children. The expiration date is not available based on the given text.*
Gefitinib Tablets 250mg (30 tablets count blister label)
Gefitinib Tablets are available in a pack of 30 tablets. Each tablet contains 250 mg of gefitinib. The NDC number of this medication is 67184-0531-3. No other useful information could be obtained from the text.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
