Product Images Hydroxyzine Pamoate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Hydroxyzine Pamoate NDC 67296-1098 by Redpharm Drug, 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.

structure - 6491d5b0 7f1b 4ac0 8791 308401000e4d 01

structure - 6491d5b0 7f1b 4ac0 8791 308401000e4d 01

label 25mg - 6491d5b0 7f1b 4ac0 8791 308401000e4d 02

label 25mg - 6491d5b0 7f1b 4ac0 8791 308401000e4d 02

Hydroxyzine Pamoate Capsules USP, NDC 64980-169-01, contains 100 capsules and is used for treating anxiety. The other texts are not understandable.*

label 50 mg - 6491d5b0 7f1b 4ac0 8791 308401000e4d 03

label 50 mg - 6491d5b0 7f1b 4ac0 8791 308401000e4d 03

Hydroxyzine Pamoate Capsules USP is a medication that can be prescribed to treat anxiety, tension, and allergies. Each bottle comes with 100 capsules and the medication is identified by the NDC 64980-170-01. Some of the indications on the label describe the dosage and frequency of the medication. However, the majority of the ed text is not legible or does not seem to provide additional information.*

EPM LABEL - 67296 1098

EPM LABEL - 67296 1098

This is a description of a medication known as HYDROXY5ZOI"£|\1CE PAMOATE. It comes in two different packages, one with 15 capsules and another with 30 capsules. Both state that the medication is only available by prescription. The manufacturer is listed as Rising Pharmaceuticals, Inc. with a contact address in Allendale NJ 07401. The distributor is Redpharm Drug located in Eden Prairie, MN 55344. The medication should be stored at controlled room temperature between 20-25C (6877 F). The lot numbers are 1507241 with an expiration date of 09/17. The usual adult dosage is not listed but can be found in the package insert.*

* 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.