Product Images Zaleplon

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Zaleplon NDC 57237-239 by Rising Health, Llc, 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.

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 5 mg (100 Capsules Bottle) - zaleplon fig1

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 5 mg (100 Capsules Bottle) - zaleplon fig1

RisingĀ® NDC 57237-239-01 is a medication in the form of capsules containing 5mg of zaleplon USP. It is advised to consult the package insert for Dosage and Administration. The medication should be dispensed in a light-resistant container as defined in the USP. The medication is distributed by Rising Health, LLC located in Saddle Brook, NJ 07663 and is made in India. The medication is coded as TS/DRUGS/19/1993 and the last revision was made in 12/2017. The medication packaging has an overprinting zone coding area of 45x15 mm. FD&C Yellow #5 (tartrazine) is used as a color additive.*

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 10 mg (100 Capsules Bottle) - zaleplon fig2

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 10 mg (100 Capsules Bottle) - zaleplon fig2

RisingĀ® NDC 57237-240-01 is a medication presented in the form of capsules. Each capsule contains 10 mg zaleplon USP, and it is recommended to consult the package insert for dosage and administration information. The medication should be dispensed in a light-resistant container and contains FD&C Yellow #5 (tartrazine) as a color additive. The drug is distributed by Rising Health, LLC from Saddle Brook, NJ 07663 and Made in India. The code for the medication is TS/DRUGS/19/1993, and the product was revised in 12/2017.*

Chemical Structure - zaleplon str

Chemical Structure - zaleplon str

* 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.