Product Images Core Values Minoxidil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Core Values Minoxidil NDC 63940-491 by Harmon Stores 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.

Minoxidil Image 1 - 202WR Minoxidil Image 1

Minoxidil Image 1 - 202WR Minoxidil Image 1

This text is a product description of a Women's Hair Regrowth Treatment that contains Minoxidil as the active ingredient. It can reactivate hair follicles to stimulate regrowth and is unscented. The product comes in three 60 mL (2 fl oz) bottles, providing a total volume of 180 mL (6 fl oz). The packaging claims that Minoxidil is the #1 dermatologist recommended active ingredient, and it is also compared to the active ingredient in Women's Rogaine®.*

Minoxidil Image 2 - 202WR Minoxidil Image 2

Minoxidil Image 2 - 202WR Minoxidil Image 2

This is a drug facts sheet for Minoxidil topical solution 2%, which is generally used by women who have a general thinning of hair on the scalp. The drug has been shown to regrow hair in women with varying degrees of hair thinning or loss. The package contains three 60mL bottles of the solution along with applicators and informational leaflet on how to use the product. The product is distributed by Liberty Procurement, Inc.*

hair loss image - image 01

hair loss image - image 01

Chart - image 02

Chart - image 02

bottle image - image 03

bottle image - image 03

Perrigo Logo.jpg - image 04

Perrigo Logo.jpg - image 04

This text is a simple statement that indicates the manufacturer or packager of a certain product, which is Perrigo® company. The location of its packaging is in Allegan, a city located in Michigan, USA, with a zip code of 49010.*

* 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.