1. Home
  2. Labeler Index
  3. Ds Healthcare Group, Inc.
  4. 69188-001
  5. Product Images: Mens Spectral Uhp Extra Strength Hair Regrowth Treatment

Product Images Mens Spectral Uhp Extra Strength Hair Regrowth Treatment

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Mens Spectral Uhp Extra Strength Hair Regrowth Treatment NDC 69188-001 by Ds Healthcare Group, 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.

box 1 - Spectral.UHP 1 Month box

box 1 - Spectral.UHP 1 Month box

This is a description of a hair growth treatment product with the product code "Spectral UHP US" that is intended for use by men who have thinning hair. The product contains minoxidil topical solution USP 5% and has been shown to regrow hair for men with varying degrees of hair thinning. The product comes with an information leaflet that provides complete details on how to use it properly. The product should not be used by people under the age of 16 years and is not intended for frontal baldness. The product should be applied directly onto the scalp twice a day for best results. The text also mentions various Pantone colors used in the packaging design and approval signatures. *

box 3 - Spectral.UHP 3 Month Box

box 3 - Spectral.UHP 3 Month Box

This is a drug information sheet for a hair regrowth treatment product with Product Code BX0. The product is called SPECTRAL.UHP and comes as a Topical Solution 5% Minoxidil, Extra Strength Hair Regrowth Treatment. It is for men who have general thinning of hair or hair loss and is not intended for frontal baldness or a receding hairline. The text contains instructions for use, warnings, other information and drug facts and approval signatures color code.*

* 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.