Product Images Clobazam

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Clobazam NDC 16729-445 by Accord Healthcare 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.

clobazam 10 mg 100 tablet - clobazam 10mg 100

clobazam 10 mg 100 tablet - clobazam 10mg 100

Each tablet contains 10 mg of Clobazam, a medication used to treat seizures associated with epilepsy. It should be stored at room temperature between 20°C to 25°C (66°F to 77°F) and kept away from light and moisture. Clobazam tablets are dispensed in a USP tight container and pharmacist should always enclose the medication guide with each prescription. Manufactured by Intas Pharmaceuticals Limited, Clobazam tablets are available in packs of 100.*

clobazam 20 mg 100 tablet - clobazam 20mg 100

clobazam 20 mg 100 tablet - clobazam 20mg 100

This text provides information about clobazam tablets containing 20mg each along with the NDC code. The tablets should be stored at a temperature range of 20-25°C. The medication guide related to this product is available on the Accord Healthcare website. The product should be dispensed only in a USP tight container. The text advises pharmacists to dispense the enclosed medication guide with each prescription. The medicine is manufactured by Intas Pharmaceuticals Limited and each pack contains 100 tablets. The last few lines of the text are not clear.*

clobazam figure1 - clobazam figure1

clobazam figure1 - clobazam figure1

clobazam figure2 - clobazam figure2

clobazam figure2 - clobazam figure2

The text is a graph with some numerical values on it, and as such, a description is not available.*

clobazam structural formula - clobazam structural formula

clobazam structural formula - clobazam structural formula

* 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.