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 42571-315 by Micro Labs 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.

clobazam figure1

clobazam figure1

clobazam figure2

clobazam figure2

This text presents a table with four types of treatment (Placebo, Clobazam Low, Clobazam Medium, Clobazam High) and a graph that shows the proportion of patients divided by percentages on the y-axis and the reduction in weekly drop seizure frequency from the baseline divided into five ranges on the x-axis. There is no additional context to provide more information.*

clobazam lbl a

clobazam lbl a

Each tablet of this medication contains 10 mg of clobazam. It is important to refer to the package insert for complete prescription information. The tablets should be stored in a controlled room temperature between 20°C to 25°C (68°F to 77°F) and dispensed in a tight container. The medication guide should be dispensed along with each prescription. The medication is manufactured by Micro Labs Limited in India and distributed in the US by Micro Labs USA, Inc. The product is supplied in a container with 100 tablets, and the NDC code is 42571-315-01.*

clobazam lbl b

clobazam lbl b

Each tablet of this medication contains 20 mg of clobazam. The package insert should be consulted for complete prescribing information. Store this medication between 20°C and 25°C (68°F to 77°F) in a USP tight container. This drug should be dispensed with the enclosed medication guide for each prescription. The medication is manufactured by Micro Labs Limited in Goa, India and is distributed by Micro Labs USA, Inc. The NDC is 42571-316-01.*

clobazam structure

clobazam structure

* 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.