Product Images Atovaquone And Proguanil Hydrochloride

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Product Label Images

The following 4 images provide visual information about the product associated with Atovaquone And Proguanil Hydrochloride NDC 0378-4162 by Mylan Pharmaceuticals 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.

Atovaquone Structural Formula - 039ad3a4 d2db 40c8 be97 f44218149744 01

Atovaquone Structural Formula - 039ad3a4 d2db 40c8 be97 f44218149744 01

Proguanil Hydrochloride Structural Formula - 039ad3a4 d2db 40c8 be97 f44218149744 02

Proguanil Hydrochloride Structural Formula - 039ad3a4 d2db 40c8 be97 f44218149744 02

Atovaquone and Proguanil HCl Tablets 62.5 mg/25 mg Bottle Label - image 01

Atovaquone and Proguanil HCl Tablets 62.5 mg/25 mg Bottle Label - image 01

This appears to be the product information of a medicine with the generic name "Proguanilhydrochioride" along with "AtOVaquone". The medicine comes in the form of pediatric tablets, contained in a bottle with a code number "HHDRUGS/25/NKD/B3". The tablets contain 25 mg of the active ingredient, and the recommended storage temperature is 20° to 26°C (68° to 77°F). The lot number and expiration date are printed along with variable data online coding.*

Atovaquone and Proguanil HCl Tablets 250 mg/100 mg Bottle Label - image 02

Atovaquone and Proguanil HCl Tablets 250 mg/100 mg Bottle Label - image 02

Each film-coated tablet contains Alovaguone and Proguanlhydrochloride, with a strength of 100mg. The NDC code for this tablet is 0378-4162-01. The tablet comes in a pack size of 250mg. The tablet's label includes a variable data code, which includes LOT and EXP information, as well as a unique identifier code. This tablet is manufactured by Mylan in India, and the package includes instructions to store the tablet in a dry area and to not expose it to sunlight.*

* 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.