Product Images Minoxidil
View Photos of Packaging, Labels & Appearance
- Label Image - 68151 2032
- Structural formula of minoxidil - minoxidil tablets 1
- Patient Information Diagram - minoxidil tablets 10
- Patient Information Diagram - minoxidil tablets 11
- Patient Information Diagram - minoxidil tablets 2
- Patient Information Diagram - minoxidil tablets 3
- Patient Information Diagram - minoxidil tablets 4
- Patient Information Diagram - minoxidil tablets 5
- Patient Information Diagram - minoxidil tablets 6
- Patient Information Diagram - minoxidil tablets 7
- Patient Information Diagram - minoxidil tablets 8
- Patient Information Diagram - minoxidil tablets 9
Product Label Images
The following 12 images provide visual information about the product associated with Minoxidil NDC 68151-2032 by Carilion Materials Management, 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.
Label Image - 68151 2032
This is information about a medication called Minoxidil. The tablets are 10mg and made by a company called Watson. The lot number is 1067727A and the expiration date is 08/16. There is also a code W021416SN2 and the medication is only available by prescription (RX Only). The last line is not readable due to errors.*
Structural formula of minoxidil - minoxidil tablets 1
Patient Information Diagram - minoxidil tablets 10
Patient Information Diagram - minoxidil tablets 11
Patient Information Diagram - minoxidil tablets 2
Patient Information Diagram - minoxidil tablets 3
Patient Information Diagram - minoxidil tablets 4
Patient Information Diagram - minoxidil tablets 5
Patient Information Diagram - minoxidil tablets 6
Patient Information Diagram - minoxidil tablets 7
Patient Information Diagram - minoxidil tablets 8
Patient Information Diagram - minoxidil tablets 9
* 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.
