Product Images Trihexyphenidyl Hydrochloride
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Product Label Images
The following 4 images provide visual information about the product associated with Trihexyphenidyl Hydrochloride NDC 70518-1612 by Remedyrepack 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.
MM1 - Trihexyphenidyl HCl 2mg 70518 1612 00
Trihexyphenidyl HCI is a prescription medication manufactured by Actavis, and distributed by RemedyRepack Inc. The drug is indicated for the treatment of Parkinson's disease and drug-induced extrapyramidal symptoms related to antipsychotic therapy. It should be kept out of the reach of children and stored at room temperature. Additional instructions should be included in the package insert. The expiration date and lot number should be found on the packaging.*
MM2 - Trihexyphenidyl HCl 2mg 70518 1612 01
Trihexyphenidyl HCI is a prescription medicine with the NDC number 70518-1612-01. The medication is manufactured by Actavis in Sunrise, FL 33325, and its source NDC is 00591-5335-01. The Lot number and expiry date information are missing. The medication should be kept away from children and stored at 20-26°C (63-77°F); excursions permitted to 15-30°C (59-86°F). Specific directions for use are available in the package insert. It was repackaged by RemedyRepack Inc. in Indiana, PA 15701.*
MM3 - Trihexyphenidyl HCl 2mg 70518 1612 02
Trihexyphenidyl HCI is a prescription medication that requires Medical Doctor dispensing. The NDC number, lot number, and manufacturing details are provided. The medication should be stored within the temperature range of 20-26°C (63-77°F), with excursions allowed to 15-30°C (59-86°F), and away from the reach of children. The directions for use are provided in the package insert. The medication has been repackaged by RemedyRepack Inc. in Indiana.*
7066154a-figure-01 - image 1
* 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.