Product Images Anticholium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Anticholium NDC 81284-831 by Provepharm 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.
Ampule - anticholium ampule
This is a 5 mL solution for injection of a medication called ANTICHOLIUM*. The solution contains 2 mg of physostigmine salicylate per 5 mL (0.4 mg/mL). It is intended for intravenous use. The manufacturer of this solution is DR. FRANZ KOHLER CHEMIE GMBH, located at Werner-von-Siemens-Str. 14-28, D-64625 Bensheim, Germany. The lot number and expiration date are not available.*
Carton - anticholium carton
US Product Label - dhcp 1
This is a description for a medication called Physostigmine Salicylate Injection. It is supplied in a 2 mL single dose ampule with a concentration of 1 mg/mL. The medication is intended for either lumbar or lateral ventricular use. The NDC number for this product is 17478-510-02. It is distributed by Akom Reonly, located in Gumee, with the PSADL number L6031. The lot number and expiration date are not readable in the provided text.*
Import Product Label - dhcp 2
This is a 5 mL solution for injection containing 2 mg of physostigmine salicylate (0.4 mg/mL). It is intended for intravenous use and is manufactured by DR. FRANZ KOHLER CHEMIE GMBH located in Bensheim, Germany. The lot number and expiration date are not available.*
List of Adverse Reactions - dhcp 3
This text contains information about the potential side effects or disorders that can occur in different organ systems. However, the text is not readable and contains errors. Therefore, a useful description cannot be generated.*
List of Adverse Reactions - dhcp 4
* 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.