Product Images Cyclopentolate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Cyclopentolate NDC 17478-096 by Akorn, 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.

cyc09 0001 01

cyc09 0001 01

cyc09 0001 02

cyc09 0001 02

2031 CPHAL is a Cyclopentolate Hydrochloride Ophthalmic solution used for topical application in the eye. Each mL contains 0.5% Cyclopentolate Hydrochloride, boric acid, edetate disodium, potassium chloride, sodium carbonate, hydrochloric acid to adjust pH (3.0 to 5.5), water for injection, and benzalkonium chloride as a preservative. The usual dosage is one or two drops in the eye, which can be repeated in five to ten minutes. It is essential not to touch the dropper tip to any surface to prevent contamination. The solution is stored at 20° to 25°C (68° to 77°F), and Akorn, Inc. manufactures it. However, there is not enough information available about its indications or uses.*

cyc09 0001 03

cyc09 0001 03

This is a description for Cyclopentolate Hydrochloride Ophthalmic Solution, USP, 0.5%. The solution is used for topical application in the eye; the usual dosage is one or two drops, which can be repeated in 5 to 10 minutes as directed by a healthcare professional. The solution should be stored at 20° to 25°C (68° to 77°F) and kept out of the reach of children. It contains Cyclopentolate Hydrochloride 0.5%, Boric Acid, Edetate Disodium, Potassium Chloride, Sodium Carbonate and/or Hydrochloric Acid to adjust pH (3.0 to 5.5), and Water for Injection. It also contains Benzalkonium Chloride 0.01% as a preservative. The package insert provides detailed dosage information. The manufacturer is Akom, Inc., located in Lake Forest, IL 60045.*

* 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.