Product Images Lansoprazole
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Lansoprazole NDC 55648-670 by Wockhardt Limited, 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.
container label - 15 mg 1000C
Each capsule of this medication (NDC 64679-669-05) contains 15 mg of lansoprazole in an enteric-coated granule form. The capsule is imprinted with product identification code "669 Delayed Release". It should not be accepted if the bottle seal is broken or missing. The medication should be dispensed in a tightly sealed container that meets USP standards. The full prescribing information is available in the package insert. This medication should be kept out of the reach of children and stored at 20°-25°C (68°-77°F) in a USP controlled room temperature.*
container label - 30 mg 1000C
This is a description of a drug contained in pink and black capsules, each capsule contains 30 mg of lansoprazole. The capsules are imprinted with a product identification code and they are classified as Delayed-Release S5. The container comes with instructions not to accept the drug if the seal is broken or missing. The drug should be kept in a USP tight container and instructions for use are enclosed. The drug is only available with a prescription, and should be kept out of the reach of children. The drug should be stored at a temperature range of 20°-25°C (68°-77°F).*
Structure - lansodrcapsrx m figure 01
Figure 1 - lansodrcapsrx m figure 02
This appears to be a table showing the mean severity of day heartburn for evaluable patients, with different treatments (Lansoprazole, Esomeprazole) listed, and the study day along the x-axis. However, the table is incomplete and it is not clear what the y-axis values represent.*
Figure 2 - lansodrcapsrx m figure 03
* 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.