Navigating Chemical Toxicity in Coca Production in the Colombian Borderlands of Putumayo.

Med Anthropol

Instituto de Estudios Políticos y Relaciones Internacionales, Universidad Nacional de Colombia, Bogotá, Colombia.

Published: October 2023

In Putumayo, a jungle borderland in southern Colombia, thousands of farmers derive their livelihood from the cultivation and processing of coca leaf, exposing themselves to fertilizers, pesticides, and other toxic chemicals on a daily basis. In this article, we show how the coca growers' relationship with chemicals and the health risks to which they are exposed, are politically and institutionally structured. We discuss the specific impact of anti-narcotics policy in a broader context of deep inequalities and document the emergent and adaptive day-to-day attempts of the farmers to navigate the structural risk environment.

Download full-text PDF

Source
http://dx.doi.org/10.1080/01459740.2023.2249202DOI Listing

Publication Analysis

Top Keywords

navigating chemical
4
chemical toxicity
4
toxicity coca
4
coca production
4
production colombian
4
colombian borderlands
4
borderlands putumayo
4
putumayo putumayo
4
putumayo jungle
4
jungle borderland
4

Similar Publications

Water quality plays a critical role in health care, particularly in the processing of medical devices. This article highlights the infection control risks associated with water sources and the regulatory requirements for water management plans in health care facilities. The guidance on water quality has evolved from the initial technical information report provided by the Association for the Advancement of Medical Instrumentation in 2014 to the more recent 2023 publication of the American National Standards Institute and Association for the Advancement of Medical Instrumentation standard for water used in medical device processing.

View Article and Find Full Text PDF

Reactive oxygen, nitrogen and sulfur species (RONSS) collectively encompasses a variety of energetically dynamic entities that emerge as inherent characteristics of aerobic life. This broad category includes reactive oxygen species (ROS), reactive nitrogen species (RNS), and reactive sulfur species (RSS). A conundrum arises from the indispensable role of RONSS in redox signalling, while its overproduction in the mitochondria poses deleterious effects.

View Article and Find Full Text PDF

Transitions between chiral rotational locomotion modes occur in a variety of active individuals and populations, such as sidewinders, self-propelled chiral droplets, and dense bacterial suspensions. Despite recent progress in the study of active matter, general principles governing rotational chiral transition remain elusive. Here, we study, experimentally and theoretically, rotational locomotion and its chiral transition in a 2D polyacrylamide (PAAm)-based BZ gel driven by Belousov-Zhabotinsky reaction-diffusion waves.

View Article and Find Full Text PDF

Background: Given the challenges of pediatric antibacterial therapy, it is crucial to formulate antibiotics with a lower potential for interaction with dietary interventions and tailor them for optimal administration in children. Chemometric methods allow us to analyze multiple interrelated variables simultaneously and uncover correlations.

Aim: We applied a chemometric approach to examine how food, beverages, antacids, and mineral supplements affect antibiotic bioavailability in adults and children, aiming to explore relationships between antibiotic structure, physicochemical properties, and post-meal changes in pharmacokinetic (PK) parameters.

View Article and Find Full Text PDF

Structure-based self-supervised learning enables ultrafast protein stability prediction upon mutation.

Innovation (Camb)

January 2025

AIM Center, College of Life Sciences and Technology, Beijing University of Chemical Technology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.

Predicting free energy changes (ΔΔG) is essential for enhancing our understanding of protein evolution and plays a pivotal role in protein engineering and pharmaceutical development. While traditional methods offer valuable insights, they are often constrained by computational speed and reliance on biased training datasets. These constraints become particularly evident when aiming for accurate ΔΔG predictions across a diverse array of protein sequences.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!